06 2020 complete machine learning and data science zero to mastery

06 2020 complete machine learning and data science zero to mastery

Name	[06-2020] complete-machine-learning-and-data-science-zero-to-mastery	DOWNLOAD Copy Link
Total Size	30.7 GB
Total Files	827
Hash	C10AF4B80DEFA1A86E9910A1DE05B41AB123E086

/16 Career Advice + Extra Bits/
261 CWD_ Git + Github.mp4	380.9 MB
253 Endorsements On LinkedIn.html	2.6 KB
254 Quick Note_ Upcoming Video.html	1.1 KB
255 What If I Don't Have Enough Experience_.en_US.srt	19.7 KB
255 What If I Don't Have Enough Experience_.mp4	328.1 MB
256 Learning Guideline.html	0.8 KB
257 Quick Note_ Upcoming Videos.html	1.1 KB
258 JTS_ Learn to Learn.en_US.srt	2.4 KB
258 JTS_ Learn to Learn.mp4	11.0 MB
259 JTS_ Start With Why.en_US.srt	2.9 KB
259 JTS_ Start With Why.mp4	15.1 MB
260 Quick Note_ Upcoming Videos.html	0.8 KB
261 CWD_ Git + Github.en_US.srt	20.8 KB
262 CWD_ Git + Github 2.en_US.srt	18.0 KB
262 CWD_ Git + Github 2.mp4	215.5 MB
263 Contributing To Open Source.en_US.srt	16.9 KB
263 Contributing To Open Source.mp4	209.5 MB
264 Contributing To Open Source 2.en_US.srt	10.0 KB
264 Contributing To Open Source 2.mp4	224.3 MB
265 Coding Challenges.html	1.4 KB
266 Exercise_ Contribute To Open Source.html	2.0 KB
/01 Introduction/
001 Course Outline.mp4	151.7 MB
002 Join Our Online Classroom!.html	2.8 KB
003 Exercise_ Meet The Community.html	3.1 KB
004 Your First Day.en_US.srt	5.2 KB
004 Your First Day.mp4	45.1 MB
001 Course Outline.en_US.srt	8.7 KB
/02 Machine Learning 101/
005 What Is Machine Learning_.en_US.srt	8.5 KB
005 What Is Machine Learning_.mp4	31.4 MB
006 AI_Machine Learning_Data Science.en_US.srt	6.3 KB
006 AI_Machine Learning_Data Science.mp4	23.9 MB
007 Exercise_ Machine Learning Playground.en_US.srt	7.9 KB
007 Exercise_ Machine Learning Playground.mp4	68.9 MB
007 Teachable-Machine.txt	0.0 KB
008 How Did We Get Here_.en_US.srt	7.0 KB
008 How Did We Get Here_.mp4	41.1 MB
009 Exercise_ YouTube Recommendation Engine.en_US.srt	5.5 KB
009 Exercise_ YouTube Recommendation Engine.mp4	13.8 MB
009 Machine-Learning-Playground.txt	0.0 KB
010 Types of Machine Learning.en_US.srt	5.2 KB
010 Types of Machine Learning.mp4	15.8 MB
011 Are You Getting It Yet_.html	0.6 KB
012 What Is Machine Learning_ Round 2.en_US.srt	6.0 KB
012 What Is Machine Learning_ Round 2.mp4	20.1 MB
013 Section Review.en_US.srt	2.3 KB
013 Section Review.mp4	4.3 MB
/03 Machine Learning and Data Science Framework/
014 Section Overview.en_US.srt	4.6 KB
014 Section Overview.mp4	10.1 MB
015 Introducing Our Framework.en_US.srt	3.7 KB
015 Introducing Our Framework.mp4	6.7 MB
016 6 Step Machine Learning Framework.en_US.srt	6.6 KB
016 6 Step Machine Learning Framework.mp4	16.0 MB
016 A-6-Step-Field-Guide-for-Machine-Learning-Modelling-blog-post-.txt	0.1 KB
017 Types of Machine Learning Problems.en_US.srt	13.8 KB
017 Types of Machine Learning Problems.mp4	34.7 MB
018 Types of Data.en_US.srt	6.4 KB
018 Types of Data.mp4	35.1 MB
019 Types of Evaluation.en_US.srt	4.3 KB
019 Types of Evaluation.mp4	10.3 MB
020 Features In Data.en_US.srt	6.7 KB
020 Features In Data.mp4	25.7 MB
021 Modelling - Splitting Data.en_US.srt	7.6 KB
021 Modelling - Splitting Data.mp4	17.6 MB
022 Modelling - Picking the Model.en_US.srt	6.1 KB
022 Modelling - Picking the Model.mp4	13.7 MB
023 Modelling - Tuning.en_US.srt	4.8 KB
023 Modelling - Tuning.mp4	9.7 MB
024 Modelling - Comparison.en_US.srt	12.9 KB
024 Modelling - Comparison.mp4	28.6 MB
025 Overfitting and Underfitting Definitions.html	2.3 KB
026 Experimentation.en_US.srt	4.9 KB
026 Experimentation.mp4	19.8 MB
027 Tools We Will Use.en_US.srt	5.9 KB
027 Tools We Will Use.mp4	21.5 MB
028 Optional_ Elements of AI.html	1.5 KB
/04 The 2 Paths/
029 The 2 Paths.en_US.srt	4.6 KB
029 The 2 Paths.mp4	7.3 MB
030 Python + Machine Learning Monthly.html	1.2 KB
/05 Data Science Environment Setup/
031 Section Overview.en_US.srt	2.1 KB
031 Section Overview.mp4	4.1 MB
032 Introducing Our Tools.en_US.srt	4.3 KB
032 Introducing Our Tools.mp4	17.2 MB
033 conda-cheatsheet.pdf	206.1 KB
033 Conda-documentation.txt	0.0 KB
033 Getting-started-with-Conda-documentation-.txt	0.1 KB
033 Getting-your-computer-ready-for-machine-learning-How-what-and-why-you-should-use-Anaconda-Miniconda-and-Conda-blog-post-.txt	0.1 KB
033 What is Conda_.en_US.srt	3.4 KB
033 What is Conda_.mp4	7.7 MB
034 Conda Environments.en_US.srt	6.1 KB
034 Conda Environments.mp4	25.9 MB
035 Mac Environment Setup.en_US.srt	23.6 KB
035 Mac Environment Setup.mp4	275.4 MB
035 Miniconda-download-documentation.txt	0.0 KB
036 Mac Environment Setup 2.en_US.srt	20.3 KB
036 Mac Environment Setup 2.mp4	234.5 MB
037 Miniconda-download-documentation.txt	0.0 KB
037 Windows Environment Setup.en_US.srt	7.5 KB
037 Windows Environment Setup.mp4	62.3 MB
038 Windows Environment Setup 2.en_US.srt	31.1 KB
038 Windows Environment Setup 2.mp4	366.1 MB
039 Linux Environment Setup.html	1.5 KB
040 Conda-documentation-on-sharing-an-environment.txt	0.1 KB
040 Sharing your Conda Environment.html	3.0 KB
041 6-step-ml-framework.png	332.0 KB
041 Dataquest-Jupyter-Notebook-for-Beginners-Tutorial.txt	0.1 KB
041 heart-disease.csv	11.3 KB
041 Jupyter Notebook Walkthrough.en_US.srt	14.9 KB
041 Jupyter Notebook Walkthrough.mp4	107.5 MB
041 Jupyter-Notebook-documentation.txt	0.1 KB
042 Jupyter Notebook Walkthrough 2.en_US.srt	22.1 KB
042 Jupyter Notebook Walkthrough 2.mp4	160.4 MB
043 Jupyter Notebook Walkthrough 3.en_US.srt	11.3 KB
043 Jupyter Notebook Walkthrough 3.mp4	134.0 MB
/06 Pandas_ Data Analysis/
044 Section Overview.en_US.srt	3.7 KB
044 Section Overview.mp4	8.2 MB
045 Downloading Workbooks and Assignments.html	1.5 KB
046 10-minutes-to-pandas-from-the-pandas-documentation-.txt	0.1 KB
046 Introduction-to-Pandas-Jupyter-Notebook-from-the-upcoming-videos-.txt	0.1 KB
046 Introduction-to-Pandas-Jupyter-Notebook-with-annotations-.txt	0.1 KB
046 Pandas Introduction.en_US.srt	6.9 KB
046 Pandas Introduction.mp4	18.8 MB
046 Pandas-Documentation.txt	0.0 KB
047 pandas-anatomy-of-a-dataframe.png	341.2 KB
047 Series, Data Frames and CSVs.en_US.srt	16.6 KB
047 Series, Data Frames and CSVs.mp4	174.1 MB
048 Data from URLs.html	1.6 KB
049 Describing Data with Pandas.en_US.srt	13.3 KB
049 Describing Data with Pandas.mp4	118.0 MB
050 car-sales.csv	0.4 KB
050 Selecting and Viewing Data with Pandas.en_US.srt	14.3 KB
050 Selecting and Viewing Data with Pandas.mp4	112.1 MB
051 Selecting and Viewing Data with Pandas Part 2.en_US.srt	17.6 KB
051 Selecting and Viewing Data with Pandas Part 2.mp4	196.3 MB
052 car-sales-missing-data.csv	0.3 KB
052 Jake-VanderPlass-Data-Manipulation-with-Pandas.txt	0.1 KB
052 Manipulating Data.en_US.srt	17.7 KB
052 Manipulating Data.mp4	190.1 MB
053 Manipulating Data 2.en_US.srt	13.6 KB
053 Manipulating Data 2.mp4	163.6 MB
053 pandas-anatomy-of-a-dataframe.png	341.2 KB
054 Introduction-to-Pandas-Jupyter-Notebook-from-the-videos-.txt	0.1 KB
054 Introduction-to-Pandas-Jupyter-Notebook-with-annotations-.txt	0.1 KB
054 Manipulating Data 3.en_US.srt	13.5 KB
054 Manipulating Data 3.mp4	144.5 MB
055 Assignment_ Pandas Practice.html	2.6 KB
056 Course-notebooks-Github.txt	0.0 KB
056 Google-Colab.txt	0.0 KB
056 How To Download The Course Assignments.en_US.srt	10.9 KB
056 How To Download The Course Assignments.mp4	47.6 MB
/07 NumPy/
057 Section Overview.en_US.srt	3.1 KB
057 Section Overview.mp4	23.6 MB
058 Introduction-to-NumPy-Jupyter-Notebook-from-the-upcoming-videos-.txt	0.1 KB
058 Introduction-to-NumPy-Jupyter-Notebook-with-annotations-.txt	0.1 KB
058 NumPy Introduction.en_US.srt	7.4 KB
058 NumPy Introduction.mp4	22.7 MB
058 NumPy-Documentation.txt	0.0 KB
059 Quick Note_ Correction In Next Video.html	1.8 KB
060 NumPy DataTypes and Attributes.en_US.srt	18.9 KB
060 NumPy DataTypes and Attributes.mp4	98.6 MB
061 Creating NumPy Arrays.en_US.srt	12.1 KB
061 Creating NumPy Arrays.mp4	81.7 MB
062 NumPy Random Seed.en_US.srt	9.5 KB
062 NumPy Random Seed.mp4	65.0 MB
063 Viewing Arrays and Matrices.en_US.srt	12.6 KB
063 Viewing Arrays and Matrices.mp4	109.1 MB
064 Manipulating Arrays.en_US.srt	15.9 KB
064 Manipulating Arrays.mp4	125.2 MB
064 Standard-deviation-and-variance-explained.txt	0.1 KB
065 Manipulating Arrays 2.en_US.srt	11.3 KB
065 Manipulating Arrays 2.mp4	106.8 MB
065 Standard-deviation-and-variance-explained.txt	0.1 KB
066 Standard Deviation and Variance.en_US.srt	9.2 KB
066 Standard Deviation and Variance.mp4	64.8 MB
066 Standard-deviation-and-variance-explained.txt	0.1 KB
067 Reshape and Transpose.en_US.srt	9.3 KB
067 Reshape and Transpose.mp4	96.0 MB
068 Dot Product vs Element Wise.en_US.srt	15.0 KB
068 Dot Product vs Element Wise.mp4	128.8 MB
068 Matrix-Multiplication-Explained.txt	0.1 KB
069 Exercise_ Nut Butter Store Sales.en_US.srt	16.6 KB
069 Exercise_ Nut Butter Store Sales.mp4	141.6 MB
070 Comparison Operators.en_US.srt	5.1 KB
070 Comparison Operators.mp4	40.4 MB
071 Sorting Arrays.en_US.srt	8.6 KB
071 Sorting Arrays.mp4	41.2 MB
072 Introduction-to-NumPy-Jupyter-Notebook-from-the-videos-.txt	0.1 KB
072 Introduction-to-NumPy-Jupyter-Notebook-with-annotations-.txt	0.1 KB
072 numpy-images.zip	7.6 MB
072 Turn Images Into NumPy Arrays.en_US.srt	10.2 KB
072 Turn Images Into NumPy Arrays.mp4	173.0 MB
073 Assignment_ NumPy Practice.html	2.7 KB
074 Optional_ Extra NumPy resources.html	1.5 KB
/08 Matplotlib_ Plotting and Data Visualization/
075 Section Overview.en_US.srt	2.6 KB
075 Section Overview.mp4	6.4 MB
076 Introduction-to-Matplotlib-Jupyter-Notebook-from-the-upcoming-videos-.txt	0.1 KB
076 Matplotlib Introduction.en_US.srt	7.9 KB
076 Matplotlib Introduction.mp4	36.7 MB
076 Matplotlib-Documentation.txt	0.0 KB
077 Importing And Using Matplotlib.en_US.srt	15.7 KB
077 Importing And Using Matplotlib.mp4	154.4 MB
078 Anatomy Of A Matplotlib Figure.en_US.srt	13.9 KB
078 Anatomy Of A Matplotlib Figure.mp4	96.2 MB
078 matplotlib-anatomy-of-a-plot-with-code.png	670.5 KB
078 matplotlib-anatomy-of-a-plot.png	378.3 KB
079 Scatter Plot And Bar Plot.en_US.srt	14.4 KB
079 Scatter Plot And Bar Plot.mp4	79.2 MB
080 Histograms And Subplots.en_US.srt	12.2 KB
080 Histograms And Subplots.mp4	103.2 MB
081 Subplots Option 2.en_US.srt	6.3 KB
081 Subplots Option 2.mp4	57.3 MB
082 Quick Tip_ Data Visualizations.en_US.srt	2.3 KB
082 Quick Tip_ Data Visualizations.mp4	7.1 MB
083 Plotting From Pandas DataFrames.en_US.srt	8.8 KB
083 Plotting From Pandas DataFrames.mp4	94.5 MB
084 Quick Note_ Regular Expressions.html	1.1 KB
085 Plotting From Pandas DataFrames 2.en_US.srt	13.4 KB
085 Plotting From Pandas DataFrames 2.mp4	186.2 MB
086 Plotting from Pandas DataFrames 3.en_US.srt	11.3 KB
086 Plotting from Pandas DataFrames 3.mp4	133.7 MB
087 heart-disease.csv	11.3 KB
087 Plotting from Pandas DataFrames 4.en_US.srt	9.2 KB
087 Plotting from Pandas DataFrames 4.mp4	56.1 MB
088 Plotting from Pandas DataFrames 5.en_US.srt	11.4 KB
088 Plotting from Pandas DataFrames 5.mp4	98.0 MB
089 Plotting from Pandas DataFrames 6.en_US.srt	10.9 KB
089 Plotting from Pandas DataFrames 6.mp4	127.4 MB
090 Plotting from Pandas DataFrames 7.en_US.srt	14.7 KB
090 Plotting from Pandas DataFrames 7.mp4	231.4 MB
091 Customizing Your Plots.en_US.srt	13.7 KB
091 Customizing Your Plots.mp4	139.7 MB
092 Customizing Your Plots 2.en_US.srt	13.0 KB
092 Customizing Your Plots 2.mp4	247.4 MB
093 Introduction-to-Matplotlib-Notebook-from-the-videos-.txt	0.1 KB
093 Saving And Sharing Your Plots.en_US.srt	5.7 KB
093 Saving And Sharing Your Plots.mp4	97.4 MB
094 Assignment_ Matplotlib Practice.html	2.6 KB
/09 Scikit-learn_ Creating Machine Learning Models/
095 Section Overview.en_US.srt	4.0 KB
095 Section Overview.mp4	9.2 MB
096 Introduction-to-Scikit-Learn-Jupyter-Notebook-from-the-upcoming-videos-.txt	0.1 KB
096 Introduction-to-Scikit-Learn-Jupyter-Notebook-with-annotations-.txt	0.1 KB
096 Scikit-learn Introduction.en_US.srt	10.4 KB
096 Scikit-learn Introduction.mp4	28.2 MB
096 Scikit-Learn-Documentation.txt	0.0 KB
097 Quick Note_ Upcoming Video.html	0.9 KB
098 Refresher_ What Is Machine Learning_.en_US.srt	6.2 KB
098 Refresher_ What Is Machine Learning_.mp4	35.3 MB
099 Quick Note_ Upcoming Videos.html	1.5 KB
100 Scikit-learn Cheatsheet.en_US.srt	10.0 KB
100 Scikit-learn Cheatsheet.mp4	146.7 MB
100 Scikit-Learn-Reference-Notebook.txt	0.1 KB
101 Example-Scikit-Learn-Workflow-Notebook.txt	0.1 KB
101 Typical scikit-learn Workflow.en_US.srt	31.1 KB
101 Typical scikit-learn Workflow.mp4	353.9 MB
102 Optional_ Debugging Warnings In Jupyter.en_US.srt	25.2 KB
102 Optional_ Debugging Warnings In Jupyter.mp4	338.8 MB
103 Getting Your Data Ready_ Splitting Your Data.en_US.srt	11.8 KB
103 Getting Your Data Ready_ Splitting Your Data.mp4	114.7 MB
103 scikit-learn-data.zip	21.3 KB
104 Quick Tip_ Clean, Transform, Reduce.en_US.srt	6.3 KB
104 Quick Tip_ Clean, Transform, Reduce.mp4	16.2 MB
105 Getting Your Data Ready_ Convert Data To Numbers.en_US.srt	22.3 KB
105 Getting Your Data Ready_ Convert Data To Numbers.mp4	249.7 MB
106 Getting Your Data Ready_ Handling Missing Values With Pandas.en_US.srt	16.7 KB
106 Getting Your Data Ready_ Handling Missing Values With Pandas.mp4	196.7 MB
107 Extension_ Feature Scaling.html	3.5 KB
108 Note_ Correction in the upcoming video (splitting data).html	2.7 KB
109 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.en_US.srt	22.8 KB
109 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4	254.4 MB
110 Choosing The Right Model For Your Data.en_US.srt	21.0 KB
110 Choosing The Right Model For Your Data.mp4	275.4 MB
110 Scikit-Learn-machine-learning-map-how-to-choose-the-right-machine-learning-model-.txt	0.1 KB
111 Choosing The Right Model For Your Data 2 (Regression).en_US.srt	11.8 KB
111 Choosing The Right Model For Your Data 2 (Regression).mp4	168.9 MB
112 Quick Note_ Decision Trees.html	0.7 KB
113 Quick Tip_ How ML Algorithms Work.en_US.srt	1.9 KB
113 Quick Tip_ How ML Algorithms Work.mp4	7.6 MB
114 Choosing The Right Model For Your Data 3 (Classification).en_US.srt	16.8 KB
114 Choosing The Right Model For Your Data 3 (Classification).mp4	227.6 MB
115 Fitting A Model To The Data.en_US.srt	9.2 KB
115 Fitting A Model To The Data.mp4	70.9 MB
116 Making Predictions With Our Model.en_US.srt	11.9 KB
116 Making Predictions With Our Model.mp4	124.3 MB
117 predict() vs predict_proba().en_US.srt	11.4 KB
117 predict() vs predict_proba().mp4	70.3 MB
118 Making Predictions With Our Model (Regression).en_US.srt	9.0 KB
118 Making Predictions With Our Model (Regression).mp4	80.2 MB
119 Evaluating A Machine Learning Model (Score).en_US.srt	12.6 KB
119 Evaluating A Machine Learning Model (Score).mp4	167.9 MB
120 Evaluating A Machine Learning Model 2 (Cross Validation).en_US.srt	17.0 KB
120 Evaluating A Machine Learning Model 2 (Cross Validation).mp4	174.2 MB
121 Evaluating A Classification Model 1 (Accuracy).en_US.srt	5.8 KB
121 Evaluating A Classification Model 1 (Accuracy).mp4	55.5 MB
122 Evaluating A Classification Model 2 (ROC Curve).en_US.srt	12.0 KB
122 Evaluating A Classification Model 2 (ROC Curve).mp4	103.9 MB
123 Evaluating A Classification Model 3 (ROC Curve).en_US.srt	9.8 KB
123 Evaluating A Classification Model 3 (ROC Curve).mp4	89.9 MB
124 Reading Extension_ ROC Curve + AUC.html	2.0 KB
125 Evaluating A Classification Model 4 (Confusion Matrix).en_US.srt	14.8 KB
125 Evaluating A Classification Model 4 (Confusion Matrix).mp4	143.5 MB
126 Evaluating A Classification Model 5 (Confusion Matrix).en_US.srt	11.0 KB
126 Evaluating A Classification Model 5 (Confusion Matrix).mp4	100.8 MB
127 Evaluating A Classification Model 6 (Classification Report).en_US.srt	14.3 KB
127 Evaluating A Classification Model 6 (Classification Report).mp4	159.4 MB
128 Evaluating A Regression Model 1 (R2 Score).en_US.srt	11.8 KB
128 Evaluating A Regression Model 1 (R2 Score).mp4	129.7 MB
129 Evaluating A Regression Model 2 (MAE).en_US.srt	5.6 KB
129 Evaluating A Regression Model 2 (MAE).mp4	52.5 MB
130 Evaluating A Regression Model 3 (MSE).en_US.srt	9.1 KB
130 Evaluating A Regression Model 3 (MSE).mp4	83.2 MB
131 Machine Learning Model Evaluation.html	7.8 KB
132 Evaluating A Model With Cross Validation and Scoring Parameter.en_US.srt	17.7 KB
132 Evaluating A Model With Cross Validation and Scoring Parameter.mp4	165.5 MB
133 Evaluating A Model With Scikit-learn Functions.en_US.srt	16.1 KB
133 Evaluating A Model With Scikit-learn Functions.mp4	177.7 MB
134 Improving A Machine Learning Model.en_US.srt	14.7 KB
134 Improving A Machine Learning Model.mp4	169.6 MB
135 Tuning Hyperparameters.en_US.srt	30.2 KB
135 Tuning Hyperparameters.mp4	326.6 MB
136 Tuning Hyperparameters 2.en_US.srt	16.7 KB
136 Tuning Hyperparameters 2.mp4	213.6 MB
137 Tuning Hyperparameters 3.en_US.srt	18.6 KB
137 Tuning Hyperparameters 3.mp4	223.0 MB
138 Note_ Metric Comparison Improvement.html	2.7 KB
139 Quick Tip_ Correlation Analysis.en_US.srt	3.0 KB
139 Quick Tip_ Correlation Analysis.mp4	32.6 MB
140 Saving And Loading A Model.en_US.srt	9.7 KB
140 Saving And Loading A Model.mp4	82.5 MB
141 Saving And Loading A Model 2.en_US.srt	8.8 KB
141 Saving And Loading A Model 2.mp4	90.5 MB
142 Putting It All Together.en_US.srt	28.9 KB
142 Putting It All Together.mp4	298.5 MB
142 Read-Corrected-splitting-data-notebook.txt	0.1 KB
143 Introduction-to-Scikit-Learn-Jupyter-Notebook-from-the-videos-.txt	0.1 KB
143 Introduction-to-Scikit-Learn-Jupyter-Notebook-with-annotations-.txt	0.1 KB
143 Putting It All Together 2.en_US.srt	15.8 KB
143 Putting It All Together 2.mp4	223.1 MB
144 Scikit-Learn Practice.html	2.6 KB
/10 Supervised Learning_ Classification + Regression/
145 Milestone Projects!.html	1.2 KB
/11 Milestone Project 1_ Supervised Learning (Classification)/
146 Section Overview.en_US.srt	3.1 KB
146 Section Overview.mp4	7.4 MB
147 End-to-end-Heart-Disease-Classification-Notebook-same-as-in-videos-.txt	0.1 KB
147 End-to-end-Heart-Disease-Classification-Notebook-with-annotations-.txt	0.1 KB
147 Project Overview.en_US.srt	9.9 KB
147 Project Overview.mp4	23.3 MB
147 Structured-Data-Projects-on-GitHub.txt	0.1 KB
148 Project Environment Setup.en_US.srt	14.2 KB
148 Project Environment Setup.mp4	182.9 MB
149 Step 1~4 Framework Setup.en_US.srt	16.4 KB
149 Step 1~4 Framework Setup.mp4	200.9 MB
150 Getting Our Tools Ready.en_US.srt	12.6 KB
150 Getting Our Tools Ready.mp4	149.9 MB
151 Exploring Our Data.en_US.srt	11.2 KB
151 Exploring Our Data.mp4	125.3 MB
151 heart-disease.csv	11.3 KB
152 Finding Patterns.en_US.srt	13.2 KB
152 Finding Patterns.mp4	112.4 MB
153 Finding Patterns 2.en_US.srt	22.0 KB
153 Finding Patterns 2.mp4	175.0 MB
154 Finding Patterns 3.en_US.srt	18.6 KB
154 Finding Patterns 3.mp4	262.3 MB
155 Preparing Our Data For Machine Learning.en_US.srt	11.8 KB
155 Preparing Our Data For Machine Learning.mp4	135.5 MB
156 Choosing The Right Models.en_US.srt	12.8 KB
156 Choosing The Right Models.mp4	184.2 MB
157 Experimenting With Machine Learning Models.en_US.srt	9.5 KB
157 Experimenting With Machine Learning Models.mp4	105.5 MB
158 Tuning_Improving Our Model.en_US.srt	17.4 KB
158 Tuning_Improving Our Model.mp4	160.6 MB
159 Tuning Hyperparameters.en_US.srt	15.4 KB
159 Tuning Hyperparameters.mp4	203.9 MB
160 Tuning Hyperparameters 2.en_US.srt	14.9 KB
160 Tuning Hyperparameters 2.mp4	197.9 MB
161 Tuning Hyperparameters 3.en_US.srt	9.8 KB
161 Tuning Hyperparameters 3.mp4	119.2 MB
162 Evaluating Our Model.en_US.srt	14.9 KB
162 Evaluating Our Model.mp4	129.4 MB
163 Evaluating Our Model 2.en_US.srt	7.3 KB
163 Evaluating Our Model 2.mp4	49.5 MB
164 Evaluating Our Model 3.en_US.srt	11.3 KB
164 Evaluating Our Model 3.mp4	118.1 MB
165 Finding The Most Important Features.en_US.srt	21.9 KB
165 Finding The Most Important Features.mp4	234.6 MB
166 End-to-end-Heart-Disease-Classification-Notebook-same-as-in-videos-.txt	0.1 KB
166 End-to-end-Heart-Disease-Classification-Notebook-with-annotations-.txt	0.1 KB
166 Reviewing The Project.en_US.srt	13.6 KB
166 Reviewing The Project.mp4	165.2 MB
/12 Milestone Project 2_ Supervised Learning (Time Series Data)/
167 Section Overview.en_US.srt	1.8 KB
167 Section Overview.mp4	16.6 MB
168 End-to-end-Bluebook-Bulldozer-Regression-Notebook-same-as-in-videos-.txt	0.2 KB
168 End-to-end-Bluebook-Bulldozer-Regression-Notebook-with-annotations-.txt	0.1 KB
168 Kaggle-Bluebook-for-Bulldozers-Competition.txt	0.1 KB
168 Project Overview.en_US.srt	6.6 KB
168 Project Overview.mp4	27.7 MB
168 Structured-Data-Projects-on-GitHub.txt	0.1 KB
169 Project Environment Setup.en_US.srt	15.6 KB
169 Project Environment Setup.mp4	188.3 MB
170 Step 1~4 Framework Setup.en_US.srt	12.2 KB
170 Step 1~4 Framework Setup.mp4	163.2 MB
171 Downloading the data for the next two projects.html	2.1 KB
172 Exploring Our Data.en_US.srt	19.7 KB
172 Exploring Our Data.mp4	265.1 MB
173 Exploring Our Data 2.en_US.srt	8.5 KB
173 Exploring Our Data 2.mp4	95.9 MB
174 Feature Engineering.en_US.srt	21.7 KB
174 Feature Engineering.mp4	190.3 MB
175 Turning Data Into Numbers.en_US.srt	21.9 KB
175 Turning Data Into Numbers.mp4	280.0 MB
176 Filling Missing Numerical Values.en_US.srt	16.6 KB
176 Filling Missing Numerical Values.mp4	200.5 MB
176 Pandas-Categorical-Datatype-Documentation.txt	0.1 KB
177 Filling Missing Categorical Values.en_US.srt	11.0 KB
177 Filling Missing Categorical Values.mp4	104.8 MB
178 Fitting A Machine Learning Model.en_US.srt	10.3 KB
178 Fitting A Machine Learning Model.mp4	101.3 MB
179 Splitting Data.en_US.srt	13.3 KB
179 Splitting Data.mp4	153.7 MB
180 Challenge_ What's wrong with splitting data after filling it_.html	2.3 KB
181 Custom Evaluation Function.en_US.srt	15.8 KB
181 Custom Evaluation Function.mp4	194.0 MB
182 Reducing Data.en_US.srt	14.3 KB
182 Reducing Data.mp4	177.9 MB
183 RandomizedSearchCV.en_US.srt	12.5 KB
183 RandomizedSearchCV.mp4	136.4 MB
184 Improving Hyperparameters.en_US.srt	10.9 KB
184 Improving Hyperparameters.mp4	152.1 MB
185 Preproccessing Our Data.en_US.srt	17.5 KB
185 Preproccessing Our Data.mp4	272.4 MB
186 Making Predictions.en_US.srt	11.2 KB
186 Making Predictions.mp4	149.9 MB
187 End-to-end-Bluebook-Bulldozer-Regression-Notebook-same-as-in-videos-.txt	0.2 KB
187 End-to-end-Bluebook-Bulldozer-Regression-Notebook-with-annotations-.txt	0.1 KB
187 Feature Importance.en_US.srt	17.0 KB
187 Feature Importance.mp4	267.4 MB
/13 Data Engineering/
188 Data Engineering Introduction.en_US.srt	4.2 KB
188 Data Engineering Introduction.mp4	10.2 MB
189 Kaggle.txt	0.0 KB
189 What Is Data_.en_US.srt	7.5 KB
189 What Is Data_.mp4	55.2 MB
190 What Is A Data Engineer_.en_US.srt	4.8 KB
190 What Is A Data Engineer_.mp4	15.3 MB
191 What Is A Data Engineer 2_.en_US.srt	6.2 KB
191 What Is A Data Engineer 2_.mp4	19.8 MB
192 What Is A Data Engineer 3_.en_US.srt	5.4 KB
192 What Is A Data Engineer 3_.mp4	18.1 MB
193 What Is A Data Engineer 4_.en_US.srt	3.8 KB
193 What Is A Data Engineer 4_.mp4	12.0 MB
194 A-Primer-on-ACID-Transactions.txt	0.1 KB
194 OLTP-vs-OLAP.txt	0.1 KB
194 Types Of Databases.en_US.srt	8.3 KB
194 Types Of Databases.mp4	44.1 MB
195 Quick Note_ Upcoming Video.html	1.0 KB
196 Optional_ OLTP Databases.en_US.srt	12.0 KB
196 Optional_ OLTP Databases.mp4	131.0 MB
197 Optional_ Learn SQL.html	0.9 KB
198 Hadoop, HDFS and MapReduce.en_US.srt	4.7 KB
198 Hadoop, HDFS and MapReduce.mp4	7.5 MB
199 Apache Spark and Apache Flink.en_US.srt	2.3 KB
199 Apache Spark and Apache Flink.mp4	4.7 MB
200 Kafka and Stream Processing.en_US.srt	5.0 KB
200 Kafka and Stream Processing.mp4	17.9 MB
/14 Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/
201 Section Overview.en_US.srt	2.7 KB
201 Section Overview.mp4	11.1 MB
202 Deep Learning and Unstructured Data.en_US.srt	19.9 KB
202 Deep Learning and Unstructured Data.mp4	126.5 MB
203 Setting Up With Google.html	1.1 KB
204 End-to-end-Dog-Vision-Notebook-the-project-well-be-working-through-.txt	0.1 KB
204 Google-Colab-IO-example-how-to-get-data-in-and-out-of-your-Colab-notebook-.txt	0.1 KB
204 Google-Colab-our-workspace-for-the-upcoming-project-.txt	0.0 KB
204 Introduction-to-Google-Colab-example-notebook.txt	0.1 KB
204 Kaggle-Dog-Breed-Identification-Competition-the-basis-of-our-upcoming-project-.txt	0.1 KB
204 Setting Up Google Colab.en_US.srt	9.5 KB
204 Setting Up Google Colab.mp4	143.5 MB
205 Google Colab Workspace.en_US.srt	6.2 KB
205 Google Colab Workspace.mp4	61.7 MB
205 Google-Colab-FAQ-things-you-should-know-about-Google-Colab-.txt	0.1 KB
205 Google-Colab-our-workspace-for-the-upcoming-project-.txt	0.0 KB
206 Google-Colab-IO-example-how-to-get-data-in-and-out-of-your-Colab-notebook-.txt	0.1 KB
206 Kaggle-Dog-Breed-Identification-Competition-Data.txt	0.1 KB
206 Uploading Project Data.en_US.srt	8.5 KB
206 Uploading Project Data.mp4	96.8 MB
207 Setting Up Our Data.en_US.srt	6.3 KB
207 Setting Up Our Data.mp4	80.0 MB
208 Setting Up Our Data 2.en_US.srt	2.2 KB
208 Setting Up Our Data 2.mp4	39.4 MB
209 Importing TensorFlow 2.en_US.srt	16.5 KB
209 Importing TensorFlow 2.mp4	221.5 MB
210 Loading-TensorFlow-2.0-into-a-Colab-Notebook-if-it-isnt-the-default-.txt	0.1 KB
210 Optional_ TensorFlow 2.0 Default Issue.en_US.srt	4.4 KB
210 Optional_ TensorFlow 2.0 Default Issue.mp4	24.7 MB
211 Google-Colab-example-GPU-usage.txt	0.1 KB
211 Using A GPU.en_US.srt	11.9 KB
211 Using A GPU.mp4	52.7 MB
212 Google-Colab-Example-of-GPU-speed-up-versus-CPU.txt	0.1 KB
212 Introduction-to-Google-Colab-example-notebook.txt	0.1 KB
212 Optional_ GPU and Google Colab.en_US.srt	5.9 KB
212 Optional_ GPU and Google Colab.mp4	73.0 MB
213 Optional_ Reloading Colab Notebook.en_US.srt	7.7 KB
213 Optional_ Reloading Colab Notebook.mp4	175.7 MB
214 Documentation-on-how-many-images-Google-recommends-for-image-problems.txt	0.1 KB
214 Loading Our Data Labels.en_US.srt	15.8 KB
214 Loading Our Data Labels.mp4	216.8 MB
215 Preparing The Images.en_US.srt	14.8 KB
215 Preparing The Images.mp4	256.6 MB
216 Turning Data Labels Into Numbers.en_US.srt	13.5 KB
216 Turning Data Labels Into Numbers.mp4	205.8 MB
217 Blog-post-by-Rachel-Thomas-of-fast.ai-on-how-and-why-you-should-create-a-validation-set.txt	0.0 KB
217 Creating Our Own Validation Set.en_US.srt	11.1 KB
217 Creating Our Own Validation Set.mp4	100.0 MB
218 Documentation-for-loading-images-in-TensorFlow.txt	0.1 KB
218 Preprocess Images.en_US.srt	12.7 KB
218 Preprocess Images.mp4	166.2 MB
218 TensorFlow-guidelines-for-loading-all-kinds-of-data-turning-your-data-into-Tensors-.txt	0.0 KB
219 Preprocess Images 2.en_US.srt	12.7 KB
219 Preprocess Images 2.mp4	200.3 MB
220 Turning Data Into Batches.en_US.srt	11.4 KB
220 Turning Data Into Batches.mp4	138.8 MB
221 Turning Data Into Batches 2.en_US.srt	19.9 KB
221 Turning Data Into Batches 2.mp4	238.1 MB
221 Yann-LeCuns-OG-of-deep-learning-Tweet-on-Batch-Sizes.txt	0.1 KB
222 Visualizing Our Data.en_US.srt	15.3 KB
222 Visualizing Our Data.mp4	233.8 MB
223 Preparing Our Inputs and Outputs.en_US.srt	7.6 KB
223 Preparing Our Inputs and Outputs.mp4	89.3 MB
223 TensorFlow-Hub-resource-for-pre-trained-deep-learning-models-and-more-.txt	0.0 KB
224 Optional_ How machines learn and what's going on behind the scenes_.html	3.3 KB
225 Andrei-Karpathys-talk-on-AI-at-Tesla.txt	0.0 KB
225 Building A Deep Learning Model.en_US.srt	15.7 KB
225 Building A Deep Learning Model.mp4	235.8 MB
225 MobileNetV2-the-model-were-using-on-TensorFlow-Hub.txt	0.1 KB
225 Papers-with-Code-a-great-resource-for-some-of-the-best-machine-learning-papers-with-code-examples-.txt	0.0 KB
225 PyTorch-Hub-PyTorch-version-of-TensorFlow-Hub-.txt	0.0 KB
225 TensorFlow-Hub-resource-for-pre-trained-deep-learning-models-and-more-.txt	0.0 KB
226 Building A Deep Learning Model 2.en_US.srt	12.3 KB
226 Building A Deep Learning Model 2.mp4	167.0 MB
226 Keras-in-TensorFlow-Overview-Documentation.txt	0.0 KB
227 Building A Deep Learning Model 3.en_US.srt	11.0 KB
227 Building A Deep Learning Model 3.mp4	207.6 MB
227 MobileNetV2-the-model-were-using-architecture-explanation-by-Sik-Ho-Tsang.txt	0.1 KB
227 Step-by-step-breakdown-of-a-convolutional-neural-network-what-MobileNetV2-is-made-of-.txt	0.1 KB
227 The-Softmax-Function-activation-function-we-use-in-our-model-.txt	0.0 KB
228 -Article-How-to-choose-loss-activation-functions-when-building-a-deep-learning-model.txt	0.1 KB
228 Building A Deep Learning Model 4.en_US.srt	11.9 KB
228 Building A Deep Learning Model 4.mp4	135.7 MB
229 Summarizing Our Model.en_US.srt	5.9 KB
229 Summarizing Our Model.mp4	86.4 MB
230 Evaluating Our Model.en_US.srt	10.3 KB
230 Evaluating Our Model.mp4	122.4 MB
230 TensorBoard-Callback-Documentation.txt	0.1 KB
231 Early-Stopping-Callback-a-way-to-stop-your-model-from-training-when-it-stops-improving-Documentation.txt	0.1 KB
231 Preventing Overfitting.en_US.srt	5.4 KB
231 Preventing Overfitting.mp4	57.6 MB
232 Training Your Deep Neural Network.en_US.srt	22.7 KB
232 Training Your Deep Neural Network.mp4	313.1 MB
233 Evaluating Performance With TensorBoard.en_US.srt	9.4 KB
233 Evaluating Performance With TensorBoard.mp4	140.4 MB
234 Make And Transform Predictions.en_US.srt	18.9 KB
234 Make And Transform Predictions.mp4	294.0 MB
235 TensorFlow-documentation-for-the-unbatch-function.txt	0.1 KB
235 Transform Predictions To Text.en_US.srt	17.3 KB
235 Transform Predictions To Text.mp4	241.1 MB
236 Visualizing Model Predictions.en_US.srt	16.7 KB
236 Visualizing Model Predictions.mp4	95.3 MB
237 Visualizing And Evaluate Model Predictions 2.en_US.srt	17.3 KB
237 Visualizing And Evaluate Model Predictions 2.mp4	267.6 MB
238 Visualizing And Evaluate Model Predictions 3.en_US.srt	13.6 KB
238 Visualizing And Evaluate Model Predictions 3.mp4	219.6 MB
239 Saving And Loading A Trained Model.en_US.srt	16.6 KB
239 Saving And Loading A Trained Model.mp4	238.8 MB
240 Training Model On Full Dataset.en_US.srt	18.9 KB
240 Training Model On Full Dataset.mp4	264.9 MB
241 Dog-Vision-Prediction-Probabilities-Array.txt	0.1 KB
241 Making Predictions On Test Images.en_US.srt	20.0 KB
241 Making Predictions On Test Images.mp4	220.0 MB
242 Dog-Vision-Predictions-with-MobileNetV2-Ready-for-Kaggle-Submission.txt	0.1 KB
242 Submitting Model to Kaggle.en_US.srt	16.3 KB
242 Submitting Model to Kaggle.mp4	186.1 MB
243 End-to-end-Dog-Vision-Notebook-from-the-videos-.txt	0.1 KB
243 End-to-end-Dog-Vision-Notebook-with-annotations-.txt	0.1 KB
243 Making Predictions On Our Images.en_US.srt	18.3 KB
243 Making Predictions On Our Images.mp4	221.0 MB
244 Finishing Dog Vision_ Where to next_.html	4.4 KB
/15 Storytelling + Communication_ How To Present Your Work/
245 Section Overview.en_US.srt	3.2 KB
245 Section Overview.mp4	8.0 MB
246 Communicating Your Work.en_US.srt	4.8 KB
246 Communicating Your Work.mp4	14.5 MB
246 How-to-Think-About-Communicating-and-Sharing-Your-Work-blog-post-.txt	0.1 KB
247 Communicating With Managers.en_US.srt	4.4 KB
247 Communicating With Managers.mp4	11.6 MB
248 Communicating With Co-Workers.en_US.srt	5.5 KB
248 Communicating With Co-Workers.mp4	12.1 MB
249 Weekend Project Principle.en_US.srt	8.8 KB
249 Weekend Project Principle.mp4	15.8 MB
250 Communicating With Outside World.en_US.srt	4.5 KB
250 Communicating With Outside World.mp4	9.8 MB
250 Devblog-by-Hashnode-an-easy-and-free-way-to-create-a-blog-you-own-.txt	0.0 KB
250 fast-template-by-fast.ai-a-template-you-can-use-for-your-blog-on-GitHub-Pages-.txt	0.0 KB
251 Storytelling.en_US.srt	4.0 KB
251 Storytelling.mp4	7.4 MB
252 Communicating and sharing your work_ Further reading.html	3.7 KB
/17 Learn Python/
267 What Is A Programming Language.en_US.srt	6.9 KB
267 What Is A Programming Language.mp4	36.0 MB
268 Python Interpreter.en_US.srt	8.2 KB
268 Python Interpreter.mp4	146.2 MB
269 How To Run Python Code.en_US.srt	6.4 KB
269 How To Run Python Code.mp4	75.4 MB
270 Our First Python Program.en_US.srt	8.9 KB
270 Our First Python Program.mp4	65.9 MB
271 Python 2 vs Python 3.en_US.srt	8.0 KB
271 Python 2 vs Python 3.mp4	123.9 MB
271 Python-2-vs-Python-3.txt	0.1 KB
271 The-Story-of-Python.txt	0.0 KB
272 Exercise_ How Does Python Work_.en_US.srt	2.8 KB
272 Exercise_ How Does Python Work_.mp4	30.3 MB
273 Learning Python.en_US.srt	2.6 KB
273 Learning Python.mp4	12.8 MB
274 Python Data Types.en_US.srt	5.1 KB
274 Python Data Types.mp4	20.3 MB
275 How To Succeed.html	0.8 KB
276 Floating-point-numbers.txt	0.0 KB
276 Numbers.en_US.srt	10.9 KB
276 Numbers.mp4	84.9 MB
277 Math Functions.en_US.srt	5.4 KB
277 Math Functions.mp4	46.7 MB
278 DEVELOPER FUNDAMENTALS_ I.en_US.srt	5.2 KB
278 DEVELOPER FUNDAMENTALS_ I.mp4	112.7 MB
279 Exercise-Repl.txt	0.0 KB
279 Operator Precedence.en_US.srt	3.4 KB
279 Operator Precedence.mp4	8.9 MB
280 Exercise-Repl.txt	0.0 KB
280 Exercise_ Operator Precedence.html	1.2 KB
281 Base-Numbers.txt	0.1 KB
281 Optional_ bin() and complex.en_US.srt	4.7 KB
281 Optional_ bin() and complex.mp4	25.1 MB
282 Python-Keywords.txt	0.1 KB
282 Variables.en_US.srt	15.8 KB
282 Variables.mp4	105.4 MB
283 Expressions vs Statements.en_US.srt	1.7 KB
283 Expressions vs Statements.mp4	5.1 MB
284 Augmented Assignment Operator.en_US.srt	2.9 KB
284 Augmented Assignment Operator.mp4	9.0 MB
284 Exercise-Repl.txt	0.1 KB
285 Strings.en_US.srt	6.2 KB
285 Strings.mp4	18.2 MB
286 String Concatenation.en_US.srt	1.4 KB
286 String Concatenation.mp4	4.0 MB
287 Type Conversion.en_US.srt	3.0 KB
287 Type Conversion.mp4	26.4 MB
288 Escape Sequences.en_US.srt	4.9 KB
288 Escape Sequences.mp4	13.8 MB
289 Exercise-Repl.txt	0.0 KB
289 Formatted Strings.en_US.srt	8.7 KB
289 Formatted Strings.mp4	28.6 MB
290 Exercise-Repl.txt	0.0 KB
290 String Indexes.en_US.srt	9.1 KB
290 String Indexes.mp4	27.4 MB
291 Immutability.en_US.srt	3.4 KB
291 Immutability.mp4	13.5 MB
292 Built-In Functions + Methods.en_US.srt	10.1 KB
292 Built-In Functions + Methods.mp4	77.9 MB
292 Built-in-Functions.txt	0.0 KB
292 String-Methods.txt	0.1 KB
293 Booleans.en_US.srt	3.9 KB
293 Booleans.mp4	11.9 MB
294 Exercise_ Type Conversion.en_US.srt	8.4 KB
294 Exercise_ Type Conversion.mp4	35.9 MB
295 DEVELOPER FUNDAMENTALS_ II.en_US.srt	5.2 KB
295 DEVELOPER FUNDAMENTALS_ II.mp4	34.2 MB
295 Python-Comments-Best-Practices.txt	0.0 KB
296 Exercise_ Password Checker.en_US.srt	7.7 KB
296 Exercise_ Password Checker.mp4	41.1 MB
297 Lists.en_US.srt	5.5 KB
297 Lists.mp4	13.9 MB
298 Exercise-Repl.txt	0.0 KB
298 List Slicing.en_US.srt	8.3 KB
298 List Slicing.mp4	28.5 MB
299 Exercise-Repl.txt	0.0 KB
299 Matrix.en_US.srt	4.1 KB
299 Matrix.mp4	11.4 MB
300 List Methods.en_US.srt	10.6 KB
300 List Methods.mp4	69.1 MB
300 List-Methods.txt	0.1 KB
301 Exercise-Repl.txt	0.0 KB
301 List Methods 2.en_US.srt	4.4 KB
301 List Methods 2.mp4	30.9 MB
301 Python-Keywords.txt	0.1 KB
302 List Methods 3.en_US.srt	4.9 KB
302 List Methods 3.mp4	31.3 MB
303 Common List Patterns.en_US.srt	5.7 KB
303 Common List Patterns.mp4	28.0 MB
303 Exercise-Repl.txt	0.0 KB
304 List Unpacking.en_US.srt	2.9 KB
304 List Unpacking.mp4	9.9 MB
305 None.en_US.srt	2.2 KB
305 None.mp4	4.8 MB
306 Dictionaries.en_US.srt	7.0 KB
306 Dictionaries.mp4	20.0 MB
307 DEVELOPER FUNDAMENTALS_ III.en_US.srt	3.5 KB
307 DEVELOPER FUNDAMENTALS_ III.mp4	15.8 MB
308 Dictionary Keys.en_US.srt	4.1 KB
308 Dictionary Keys.mp4	12.7 MB
309 Dictionary Methods.en_US.srt	5.2 KB
309 Dictionary Methods.mp4	16.0 MB
309 Dictionary-Methods.txt	0.1 KB
310 Dictionary Methods 2.en_US.srt	7.0 KB
310 Dictionary Methods 2.mp4	49.2 MB
310 Exercise-Repl.txt	0.0 KB
311 Tuples.en_US.srt	5.6 KB
311 Tuples.mp4	16.0 MB
312 Tuple-Methods.txt	0.1 KB
312 Tuples 2.en_US.srt	3.0 KB
312 Tuples 2.mp4	10.1 MB
313 Sets.en_US.srt	8.3 KB
313 Sets.mp4	41.5 MB
314 Exercise-Repl.txt	0.0 KB
314 Sets 2.en_US.srt	9.1 KB
314 Sets 2.mp4	96.9 MB
314 Sets-Methods.txt	0.1 KB
/18 Learn Python Part 2/
315 Breaking The Flow.en_US.srt	2.9 KB
315 Breaking The Flow.mp4	13.5 MB
316 Conditional Logic.en_US.srt	15.4 KB
316 Conditional Logic.mp4	98.0 MB
317 Indentation In Python.en_US.srt	5.2 KB
317 Indentation In Python.mp4	18.8 MB
318 Truthy vs Falsey.en_US.srt	5.9 KB
318 Truthy vs Falsey.mp4	66.8 MB
318 Truthy-vs-Falsey-Stackoverflow.txt	0.1 KB
319 Ternary Operator.en_US.srt	4.7 KB
319 Ternary Operator.mp4	13.4 MB
320 Short Circuiting.en_US.srt	4.4 KB
320 Short Circuiting.mp4	13.0 MB
321 Logical Operators.en_US.srt	7.9 KB
321 Logical Operators.mp4	23.7 MB
322 Exercise_ Logical Operators.en_US.srt	8.3 KB
322 Exercise_ Logical Operators.mp4	39.3 MB
323 is vs ==.en_US.srt	8.0 KB
323 is vs ==.mp4	28.9 MB
324 For Loops.en_US.srt	7.4 KB
324 For Loops.mp4	26.8 MB
325 Iterables.en_US.srt	6.7 KB
325 Iterables.mp4	40.0 MB
326 Exercise_ Tricky Counter.en_US.srt	3.5 KB
326 Exercise_ Tricky Counter.mp4	10.7 MB
326 Solution-Repl.txt	0.0 KB
327 range().en_US.srt	5.8 KB
327 range().mp4	36.4 MB
328 enumerate().en_US.srt	4.5 KB
328 enumerate().mp4	15.1 MB
329 While Loops.en_US.srt	7.2 KB
329 While Loops.mp4	22.4 MB
330 While Loops 2.en_US.srt	6.3 KB
330 While Loops 2.mp4	17.9 MB
331 break, continue, pass.en_US.srt	5.2 KB
331 break, continue, pass.mp4	15.0 MB
332 Exercise-Repl.txt	0.0 KB
332 Our First GUI.en_US.srt	10.2 KB
332 Our First GUI.mp4	83.7 MB
332 Solution-Repl.txt	0.0 KB
333 DEVELOPER FUNDAMENTALS_ IV.en_US.srt	7.7 KB
333 DEVELOPER FUNDAMENTALS_ IV.mp4	43.9 MB
334 Exercise_ Find Duplicates.en_US.srt	4.3 KB
334 Exercise_ Find Duplicates.mp4	13.6 MB
334 Solution-Repl.txt	0.0 KB
335 Functions.en_US.srt	9.0 KB
335 Functions.mp4	36.2 MB
336 Parameters and Arguments.en_US.srt	4.8 KB
336 Parameters and Arguments.mp4	18.5 MB
337 Default Parameters and Keyword Arguments.en_US.srt	5.9 KB
337 Default Parameters and Keyword Arguments.mp4	24.6 MB
338 return.en_US.srt	14.7 KB
338 return.mp4	60.4 MB
339 Exercise_ Tesla.html	0.9 KB
340 Methods vs Functions.en_US.srt	5.2 KB
340 Methods vs Functions.mp4	48.5 MB
341 Docstrings.en_US.srt	4.2 KB
341 Docstrings.mp4	16.7 MB
342 Clean Code.en_US.srt	5.3 KB
342 Clean Code.mp4	31.6 MB
343 _args and __kwargs.en_US.srt	8.0 KB
343 _args and __kwargs.mp4	56.7 MB
344 Exercise_ Functions.en_US.srt	4.6 KB
344 Exercise_ Functions.mp4	14.2 MB
344 Solution-Repl.txt	0.0 KB
345 Scope.en_US.srt	3.8 KB
345 Scope.mp4	13.2 MB
346 Scope Rules.en_US.srt	8.3 KB
346 Scope Rules.mp4	31.2 MB
347 global Keyword.en_US.srt	6.6 KB
347 global Keyword.mp4	35.5 MB
348 nonlocal Keyword.en_US.srt	4.0 KB
348 nonlocal Keyword.mp4	15.5 MB
348 Solution-Repl.txt	0.0 KB
349 Why Do We Need Scope_.en_US.srt	4.7 KB
349 Why Do We Need Scope_.mp4	14.0 MB
350 Pure Functions.en_US.srt	9.9 KB
350 Pure Functions.mp4	53.1 MB
351 map().en_US.srt	6.2 KB
351 map().mp4	36.3 MB
352 filter().en_US.srt	5.0 KB
352 filter().mp4	15.9 MB
353 zip().en_US.srt	3.2 KB
353 zip().mp4	17.0 MB
354 reduce().en_US.srt	8.3 KB
354 reduce().mp4	40.8 MB
355 List Comprehensions.en_US.srt	9.2 KB
355 List Comprehensions.mp4	32.8 MB
356 Set Comprehensions.en_US.srt	6.5 KB
356 Set Comprehensions.mp4	22.9 MB
357 Exercise-Repl.txt	0.0 KB
357 Exercise_ Comprehensions.en_US.srt	4.8 KB
357 Exercise_ Comprehensions.mp4	15.5 MB
357 Solution-Repl.txt	0.0 KB
358 Python Exam_ Testing Your Understanding.html	1.6 KB
359 Modules in Python.en_US.srt	12.5 KB
359 Modules in Python.mp4	176.9 MB
360 Quick Note_ Upcoming Videos.html	0.9 KB
361 Optional_ PyCharm.en_US.srt	10.3 KB
361 Optional_ PyCharm.mp4	68.8 MB
362 Packages in Python.en_US.srt	12.2 KB
362 Packages in Python.mp4	115.3 MB
363 Different Ways To Import.en_US.srt	7.4 KB
363 Different Ways To Import.mp4	41.3 MB
364 Next Steps.html	1.4 KB
/19 Bonus_ Learn Advanced Statistics and Mathematics for FREE!/
365 Statistics and Mathematics.html	1.2 KB
/20 Where To Go From Here_/
366 Become An Alumni.html	1.4 KB
367 Thank You.en_US.srt	3.6 KB
367 Thank You.mp4	16.3 MB
/21 Extras/
368 Bonus_ Special Thank You Gift!.html	2.3 KB
Total files 827