GigaCourse Com Udemy Python Machine Learning Deep Learning Pandas Matplotlib

GigaCourse Com Udemy Python Machine Learning Deep Learning Pandas Matplotlib

Name	[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib	DOWNLOAD Copy Link Trouble downloading? see How To
Total Size	4.9 GB
Total Files	191
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Hash	D9ED6D527A84BE2E612111993B244E005862B903

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[GigaCourse.Com].url	0.0 KB
01 Intro to Deep Learning with Python/
001 Introduction to Deep Learning with Python.en.srt	6.0 KB
001 Introduction to Deep Learning with Python.mp4	15.2 MB
002 Project Files and Course Documents.html	1.2 KB
02 Python Setup/
001 Installing Anaconda Distribution and Python.en.srt	4.9 KB
001 Installing Anaconda Distribution and Python.mp4	39.4 MB
002 Overview of Jupyter Notebook and Google Colab.en.srt	6.1 KB
002 Overview of Jupyter Notebook and Google Colab.mp4	26.6 MB
03 Fundamentals of Python/
001 Data Types in Python.en.srt	14.4 KB
001 Data Types in Python.mp4	43.1 MB
002 Operators in Python.en.srt	11.3 KB
002 Operators in Python.mp4	31.1 MB
003 Conditionals.en.srt	10.3 KB
003 Conditionals.mp4	36.3 MB
004 Loops.en.srt	12.7 KB
004 Loops.mp4	51.5 MB
005 Lists, Tuples, Dictionaries and Sets.en.srt	18.7 KB
005 Lists, Tuples, Dictionaries and Sets.mp4	69.6 MB
006 Data Type Operators and Methods.en.srt	9.5 KB
006 Data Type Operators and Methods.mp4	42.4 MB
007 Modules in Python.en.srt	5.7 KB
007 Modules in Python.mp4	22.1 MB
008 Functions in Python.en.srt	9.5 KB
008 Functions in Python.mp4	27.3 MB
009 Exercise Analyse.en.srt	2.3 KB
009 Exercise Analyse.mp4	6.0 MB
010 Exercise Solution.en.srt	6.8 KB
010 Exercise Solution.mp4	50.0 MB
[GigaCourse.Com].url	0.0 KB
04 Object Oriented Programming/
001 Logic of OOP.en.srt	5.4 KB
001 Logic of OOP.mp4	17.2 MB
002 Constructor.en.srt	7.3 KB
002 Constructor.mp4	35.5 MB
003 Methods.en.srt	4.4 KB
003 Methods.mp4	24.8 MB
004 Inheritance.en.srt	7.2 KB
004 Inheritance.mp4	34.2 MB
005 Overriding and Overloading.en.srt	10.0 KB
005 Overriding and Overloading.mp4	61.7 MB
05 Numpy Library/
001 What is Numpy_.en.srt	7.8 KB
001 What is Numpy_.mp4	28.0 MB
002 Why Numpy_.en.srt	5.2 KB
002 Why Numpy_.mp4	14.3 MB
003 Array and features.en.srt	12.2 KB
003 Array and features.mp4	50.2 MB
004 Array’s Operators.en.srt	4.5 KB
004 Array’s Operators.mp4	18.4 MB
005 Numpy Functions.en.srt	20.3 KB
005 Numpy Functions.mp4	82.3 MB
006 Indexing and Slicing.en.srt	9.2 KB
006 Indexing and Slicing.mp4	42.3 MB
007 Numpy Exercises.en.srt	15.8 KB
007 Numpy Exercises.mp4	77.8 MB
008 Using Numpy in Linear Algebra.en.srt	32.6 KB
008 Using Numpy in Linear Algebra.mp4	117.6 MB
008 Using Numpy in Linear Algebra.mp4.vtx	453.1 KB
009 NumExpr Guide.en.srt	8.2 KB
009 NumExpr Guide.mp4	44.2 MB
06 Using Pandas for Data Manipulation/
001 What is Pandas_.en.srt	6.7 KB
001 What is Pandas_.mp4	23.4 MB
002 Series and Features.en.srt	19.9 KB
002 Series and Features.mp4	87.6 MB
07 Data Frame with Pandas/
001 Data Frame Attributes and Methods Part – I.en.srt	16.5 KB
001 Data Frame Attributes and Methods Part – I.mp4	83.6 MB
002 Data Frame attributes and Methods Part – II.en.srt	12.2 KB
002 Data Frame attributes and Methods Part – II.mp4	59.7 MB
003 Data Frame attributes and Methods Part – III.en.srt	10.0 KB
003 Data Frame attributes and Methods Part – III.mp4	50.4 MB
004 Multi index.en.srt	12.8 KB
004 Multi index.mp4	53.3 MB
005 Groupby Operations.en.srt	13.1 KB
005 Groupby Operations.mp4	55.1 MB
006 Missing Data and Data Munging Part I.en.srt	23.4 KB
006 Missing Data and Data Munging Part I.mp4	83.2 MB
007 Missing Data and Data Munging Part II.en.srt	11.5 KB
007 Missing Data and Data Munging Part II.mp4	42.8 MB
008 Dealing with Missing Data.en.srt	16.7 KB
008 Dealing with Missing Data.mp4	72.6 MB
009 Combining Data Frames Part – I.en.srt	18.4 KB
009 Combining Data Frames Part – I.mp4	108.6 MB
010 Combining Data Frames Part – II.en.srt	18.6 KB
010 Combining Data Frames Part – II.mp4	88.3 MB
011 Work with Dataset Files.en.srt	12.4 KB
011 Work with Dataset Files.mp4	74.2 MB
08 Matplotlib/
001 Data Visualization with Python Masterclass.en.srt	3.8 KB
001 Data Visualization with Python Masterclass.mp4	18.7 MB
002 Using Matplotlib.en.srt	8.0 KB
002 Using Matplotlib.mp4	27.8 MB
003 Pyplot – Pylab - Matplotlib.en.srt	7.7 KB
003 Pyplot – Pylab - Matplotlib.mp4	27.9 MB
004 Figure, Subplot and Axes.en.srt	18.6 KB
004 Figure, Subplot and Axes.mp4	68.8 MB
005 Figure Customization.en.srt	14.9 KB
005 Figure Customization.mp4	61.9 MB
006 Plot Customization.en.srt	7.1 KB
006 Plot Customization.mp4	27.0 MB
007 Grid, Spines, Ticks.en.srt	8.7 KB
007 Grid, Spines, Ticks.mp4	23.5 MB
008 Basic Plots in Matplotlib I.en.srt	32.3 KB
008 Basic Plots in Matplotlib I.mp4	109.5 MB
009 Basic Plots in Matplotlib II.en.srt	16.6 KB
009 Basic Plots in Matplotlib II.mp4	54.0 MB
09 Seaborn/
001 What is Seaborn_.en.srt	5.3 KB
001 What is Seaborn_.mp4	13.5 MB
002 Controlling Figure Aesthetics.en.srt	11.5 KB
002 Controlling Figure Aesthetics.mp4	41.1 MB
003 Example.en.srt	10.2 KB
003 Example.mp4	53.8 MB
004 Color Palettes.en.srt	15.5 KB
004 Color Palettes.mp4	47.6 MB
005 Basic Plots in Seaborn.mp4	97.3 MB
006 Multi-Plots in Seaborn.en.srt	11.3 KB
006 Multi-Plots in Seaborn.mp4	42.9 MB
007 Regression Plots and Squarify.en.srt	16.5 KB
007 Regression Plots and Squarify.mp4	59.2 MB
[GigaCourse.Com].url	0.0 KB
10 Geoplotlib/
001 What is Geoplotlib_.en.srt	10.8 KB
001 What is Geoplotlib_.mp4	33.8 MB
002 Example - 1.en.srt	10.2 KB
002 Example - 1.mp4	38.2 MB
003 Example - 2.en.srt	19.7 KB
003 Example - 2.mp4	80.0 MB
004 Example - 3.en.srt	12.1 KB
004 Example - 3.mp4	50.1 MB
11 Machine Learning/
001 AI, Machine Learning and Deep Learning.en.srt	5.8 KB
001 AI, Machine Learning and Deep Learning.mp4	17.0 MB
002 History of Machine Learning.en.srt	8.2 KB
002 History of Machine Learning.mp4	25.0 MB
003 Turing Machine and Turing Test.en.srt	14.1 KB
003 Turing Machine and Turing Test.mp4	42.9 MB
004 What is Deep Learning.en.srt	7.6 KB
004 What is Deep Learning.mp4	21.5 MB
005 Learning representations from data.en.srt	14.3 KB
005 Learning representations from data.mp4	36.6 MB
006 Workflow of Machine Learning.en.srt	11.4 KB
006 Workflow of Machine Learning.mp4	33.2 MB
007 Machine Learning Methods.en.srt	17.0 KB
007 Machine Learning Methods.mp4	47.8 MB
008 Supervised Machine Learning Methods - 1.en.srt	11.0 KB
008 Supervised Machine Learning Methods - 1.mp4	32.4 MB
009 Supervised Machine Learning Methods - 2.en.srt	16.2 KB
009 Supervised Machine Learning Methods - 2.mp4	58.1 MB
010 Supervised Machine Learning Methods - 3.en.srt	16.8 KB
010 Supervised Machine Learning Methods - 3.mp4	58.8 MB
011 Supervised Machine Learning Methods - 4.en.srt	19.9 KB
011 Supervised Machine Learning Methods - 4.mp4	73.7 MB
012 Unsupervised Machine Learning Methods.en.srt	28.3 KB
012 Unsupervised Machine Learning Methods.mp4	92.2 MB
013 Gathering data.en.srt	6.0 KB
013 Gathering data.mp4	18.5 MB
014 Data pre-processing.en.srt	6.7 KB
014 Data pre-processing.mp4	27.2 MB
015 Choosing the right algorithm and model.en.srt	9.4 KB
015 Choosing the right algorithm and model.mp4	156.2 MB
016 Training and testing the model.en.srt	6.6 KB
016 Training and testing the model.mp4	88.0 MB
017 Evaluation.en.srt	7.9 KB
017 Evaluation.mp4	25.6 MB
12 Artificial Neural Network/
001 What is Artificial Neural Network (ANN)_.en.srt	8.6 KB
001 What is Artificial Neural Network (ANN)_.mp4	24.1 MB
002 Anatomy of Neural Network.en.srt	11.0 KB
002 Anatomy of Neural Network.mp4	44.3 MB
003 Creating a Simple ANN.en.srt	15.5 KB
003 Creating a Simple ANN.mp4	83.3 MB
004 Tensor Operations.en.srt	11.6 KB
004 Tensor Operations.mp4	65.1 MB
005 Tensor Operations 2.en.srt	8.5 KB
005 Tensor Operations 2.mp4	31.2 MB
006 Keras API.en.srt	8.5 KB
006 Keras API.mp4	24.4 MB
007 Optimizers.en.srt	12.7 KB
007 Optimizers.mp4	44.4 MB
008 What is TensorFlow.en.srt	21.3 KB
008 What is TensorFlow.mp4	65.7 MB
13 Convolutional Neural Network (CNN)/
001 What is CNN_.en.srt	18.3 KB
001 What is CNN_.mp4	75.9 MB
14 Recurrent Neural Network and LTSM/
001 Understanding RNN and LSTM Networks.en.srt	15.5 KB
001 Understanding RNN and LSTM Networks.mp4	53.3 MB
15 Transfer Learning/
001 What is Transfer Learning.en.srt	19.9 KB
001 What is Transfer Learning.mp4	89.5 MB
16 Projects/
001 Project - 1.en.srt	21.4 KB
001 Project - 1.mp4	106.5 MB
002 Project - 2.en.srt	22.1 KB
002 Project - 2.mp4	177.5 MB
003 Project - 3.en.srt	15.9 KB
003 Project - 3.mp4	86.3 MB
004 Project - 4.en.srt	15.6 KB
004 Project - 4.mp4	75.8 MB
[GigaCourse.Com].url	0.0 KB
17 BONUS/
001 BONUS.html	30.9 KB

[GigaCourse.Com].url	0.0 KB
Total files 191