Intro to Data Science Using Python Your Best Starting Point | 85A35164F7852B4A7605F143909004A3CF279BB9

Intro to Data Science Using Python Your Best Starting Point

Name	Intro to Data Science Using Python- Your Best Starting Point	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	401.1 MB
Total Files	63
Hash	85A35164F7852B4A7605F143909004A3CF279BB9

/1. Pre Introduction Installation and Guides/
1. Installing Anaconda.mp4	24.7 MB
2. Your Way Around Jupyter Notebooks.mp4	23.4 MB
3. Dealing with The Course's Notebooks.mp4	6.0 MB
2. Your Way Around Jupyter Notebooks.srt	8.0 KB
1. Installing Anaconda.srt	5.3 KB
3. Dealing with The Course's Notebooks.srt	1.3 KB
/2. Review Introduction/
5. Getting Started Analyzing Data in Python.mp4	18.5 MB
4. Importing and Exporting Data in Python.mp4	18.5 MB
2. Understanding the Data.mp4	17.6 MB
1. The Problem.mp4	9.8 MB
3. Python Packages for Data Science.mp4	7.0 MB
4. Importing and Exporting Data in Python.srt	5.6 KB
5. Getting Started Analyzing Data in Python.srt	5.6 KB
3. Python Packages for Data Science.srt	3.4 KB
2. Understanding the Data.srt	3.3 KB
1. The Problem.srt	2.9 KB
6. Lab 1 Review Introduction.html	0.2 KB
/3. Data Wrangling/
2. Dealing with Missing Values in Python.mp4	18.6 MB
3. Data Formatting in Python.mp4	12.6 MB
4. Data Normalization in Python.mp4	11.4 MB
1. Pre-processing Data in Python.mp4	7.7 MB
5. Binning in Python.mp4	7.5 MB
6. Turning Categorical Variables into Quantitative Variables in Python.mp4	5.3 MB
2. Dealing with Missing Values in Python.srt	8.2 KB
4. Data Normalization in Python.srt	5.0 KB
3. Data Formatting in Python.srt	4.4 KB
1. Pre-processing Data in Python.srt	3.1 KB
5. Binning in Python.srt	2.7 KB
6. Turning Categorical Variables into Quantitative Variables in Python.srt	2.3 KB
7. Lab 2 Data Wrangling.html	0.2 KB
/4. Exploratory Data Analysis/
2. Descriptive Statistics.mp4	16.4 MB
6. Analysis of Variance ANOVA.mp4	13.4 MB
5. Correlation Statistics.mp4	12.2 MB
3. GroupBy in Python.mp4	8.8 MB
4. Correlation.mp4	8.2 MB
1. Exploratory Data Analysis.mp4	3.4 MB
2. Descriptive Statistics.srt	7.1 KB
6. Analysis of Variance ANOVA.srt	5.2 KB
3. GroupBy in Python.srt	4.7 KB
5. Correlation Statistics.srt	4.4 KB
4. Correlation.srt	3.6 KB
1. Exploratory Data Analysis.srt	1.7 KB
7. Lab 3 Exploratory Data Analysis.html	0.2 KB
/5. Model Development/
6. Prediction and Decision Making.mp4	21.2 MB
2. Linear Regression and Multiple Linear Regression.mp4	20.7 MB
4. Polynomial Regression and Pipelines.mp4	16.2 MB
3. Model Evaluation Using Visualization.mp4	15.7 MB
5. Measures for In-Sample Evaluation.mp4	13.6 MB
1. Model Development.mp4	6.6 MB
2. Linear Regression and Multiple Linear Regression.srt	8.1 KB
6. Prediction and Decision Making.srt	7.3 KB
3. Model Evaluation Using Visualization.srt	6.5 KB
4. Polynomial Regression and Pipelines.srt	6.3 KB
5. Measures for In-Sample Evaluation.srt	4.9 KB
1. Model Development.srt	2.3 KB
7. Lab 4 Model Development.html	0.2 KB
/6. Model Evaluation and Refinement/
1. Model Evaluation and Refinement.mp4	27.2 MB
2. Overfitting, Underfitting and Model Selection.mp4	15.0 MB
3. Ridge Regression.mp4	13.6 MB
1. Model Evaluation and Refinement.srt	11.0 KB
2. Overfitting, Underfitting and Model Selection.srt	6.5 KB
3. Ridge Regression.srt	6.4 KB
4. Lab 5 Model Evaluation and Refinement.html	0.2 KB
Total files 63