Udemy - Python : Machine Learning, Deep Learning, Pandas, Matplot...

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• [GigaCourse.Com].url (0.0 KB)

• 001 Introduction to Deep Learning with Python.en.srt (5.9 KB)
• 001 Introduction to Deep Learning with Python.mp4 (14.5 MB)
• 002 Project Files and Course Documents.html (1.2 KB)

• 001 Installing Anaconda Distribution and Python.en.srt (4.8 KB)
• 001 Installing Anaconda Distribution and Python.mp4 (37.5 MB)
• 002 Overview of Jupyter Notebook and Google Colab.en.srt (6.0 KB)
• 002 Overview of Jupyter Notebook and Google Colab.mp4 (25.4 MB)

• 001 Data Types in Python.en.srt (14.1 KB)
• 001 Data Types in Python.mp4 (41.1 MB)
• 002 Operators in Python.en.srt (11.1 KB)
• 002 Operators in Python.mp4 (29.6 MB)
• 003 Conditionals.en.srt (10.0 KB)
• 003 Conditionals.mp4 (34.6 MB)
• 004 Loops.en.srt (12.4 KB)
• 004 Loops.mp4 (49.1 MB)
• 005 Lists, Tuples, Dictionaries and Sets.en.srt (18.2 KB)
• 005 Lists, Tuples, Dictionaries and Sets.mp4 (66.3 MB)
• 006 Data Type Operators and Methods.en.srt (9.3 KB)
• 006 Data Type Operators and Methods.mp4 (40.5 MB)
• 007 Modules in Python.en.srt (5.5 KB)
• 007 Modules in Python.mp4 (21.1 MB)
• 008 Functions in Python.en.srt (9.3 KB)
• 008 Functions in Python.mp4 (26.1 MB)
• 009 Exercise Analyse.en.srt (2.3 KB)
• 009 Exercise Analyse.mp4 (5.7 MB)
• 010 Exercise Solution.en.srt (6.6 KB)
• 010 Exercise Solution.mp4 (47.7 MB)
• [GigaCourse.Com].url (0.0 KB)

• 001 Logic of OOP.en.srt (5.3 KB)
• 001 Logic of OOP.mp4 (16.4 MB)
• 002 Constructor.en.srt (7.2 KB)
• 002 Constructor.mp4 (33.9 MB)
• 003 Methods.en.srt (4.3 KB)
• 003 Methods.mp4 (23.6 MB)
• 004 Inheritance.en.srt (7.0 KB)
• 004 Inheritance.mp4 (32.6 MB)
• 005 Overriding and Overloading.en.srt (9.7 KB)
• 005 Overriding and Overloading.mp4 (58.8 MB)

• 001 What is Numpy_.en.srt (7.6 KB)
• 001 What is Numpy_.mp4 (26.7 MB)
• 002 Why Numpy_.en.srt (5.0 KB)
• 002 Why Numpy_.mp4 (13.6 MB)
• 003 Array and features.en.srt (11.9 KB)
• 003 Array and features.mp4 (47.9 MB)
• 004 Array’s Operators.en.srt (4.4 KB)
• 004 Array’s Operators.mp4 (17.6 MB)
• 005 Numpy Functions.en.srt (19.9 KB)
• 005 Numpy Functions.mp4 (78.5 MB)
• 006 Indexing and Slicing.en.srt (9.0 KB)
• 006 Indexing and Slicing.mp4 (40.4 MB)
• 007 Numpy Exercises.en.srt (15.4 KB)
• 007 Numpy Exercises.mp4 (74.2 MB)
• 008 Using Numpy in Linear Algebra.en.srt (31.9 KB)
• 008 Using Numpy in Linear Algebra.mp4 (112.2 MB)
• 008 Using Numpy in Linear Algebra.mp4.vtx (442.5 KB)
• 009 NumExpr Guide.en.srt (8.0 KB)
• 009 NumExpr Guide.mp4 (42.2 MB)

• 001 What is Pandas_.en.srt (6.5 KB)
• 001 What is Pandas_.mp4 (22.3 MB)
• 002 Series and Features.en.srt (19.5 KB)
• 002 Series and Features.mp4 (83.5 MB)

• 001 Data Frame Attributes and Methods Part – I.en.srt (16.2 KB)
• 001 Data Frame Attributes and Methods Part – I.mp4 (79.8 MB)
• 002 Data Frame attributes and Methods Part – II.en.srt (11.9 KB)
• 002 Data Frame attributes and Methods Part – II.mp4 (57.0 MB)
• 003 Data Frame attributes and Methods Part – III.en.srt (9.8 KB)
• 003 Data Frame attributes and Methods Part – III.mp4 (48.1 MB)
• 004 Multi index.en.srt (12.5 KB)
• 004 Multi index.mp4 (50.8 MB)
• 005 Groupby Operations.en.srt (12.8 KB)
• 005 Groupby Operations.mp4 (52.6 MB)
• 006 Missing Data and Data Munging Part I.en.srt (22.9 KB)
• 006 Missing Data and Data Munging Part I.mp4 (79.3 MB)
• 007 Missing Data and Data Munging Part II.en.srt (11.2 KB)
• 007 Missing Data and Data Munging Part II.mp4 (40.8 MB)
• 008 Dealing with Missing Data.en.srt (16.3 KB)
• 008 Dealing with Missing Data.mp4 (69.2 MB)
• 009 Combining Data Frames Part – I.en.srt (18.0 KB)
• 009 Combining Data Frames Part – I.mp4 (103.6 MB)
• 010 Combining Data Frames Part – II.en.srt (18.1 KB)
• 010 Combining Data Frames Part – II.mp4 (84.2 MB)
• 011 Work with Dataset Files.en.srt (12.1 KB)
• 011 Work with Dataset Files.mp4 (70.7 MB)

• 001 Data Visualization with Python Masterclass.en.srt (3.7 KB)
• 001 Data Visualization with Python Masterclass.mp4 (17.9 MB)
• 002 Using Matplotlib.en.srt (7.9 KB)
• 002 Using Matplotlib.mp4 (26.5 MB)
• 003 Pyplot – Pylab - Matplotlib.en.srt (7.5 KB)
• 003 Pyplot – Pylab - Matplotlib.mp4 (26.6 MB)
• 004 Figure, Subplot and Axes.en.srt (18.2 KB)
• 004 Figure, Subplot and Axes.mp4 (65.7 MB)
• 005 Figure Customization.en.srt (14.5 KB)
• 005 Figure Customization.mp4 (59.1 MB)
• 006 Plot Customization.en.srt (6.9 KB)
• 006 Plot Customization.mp4 (25.8 MB)
• 007 Grid, Spines, Ticks.en.srt (8.5 KB)
• 007 Grid, Spines, Ticks.mp4 (22.4 MB)
• 008 Basic Plots in Matplotlib I.en.srt (31.5 KB)
• 008 Basic Plots in Matplotlib I.mp4 (104.4 MB)
• 009 Basic Plots in Matplotlib II.en.srt (16.2 KB)
• 009 Basic Plots in Matplotlib II.mp4 (51.5 MB)

• 001 What is Seaborn_.en.srt (5.2 KB)
• 001 What is Seaborn_.mp4 (12.9 MB)
• 002 Controlling Figure Aesthetics.en.srt (11.2 KB)
• 002 Controlling Figure Aesthetics.mp4 (39.2 MB)
• 003 Example.en.srt (10.0 KB)
• 003 Example.mp4 (51.3 MB)
• 004 Color Palettes.en.srt (15.1 KB)
• 004 Color Palettes.mp4 (45.4 MB)
• 005 Basic Plots in Seaborn.mp4 (92.8 MB)
• 006 Multi-Plots in Seaborn.en.srt (11.1 KB)
• 006 Multi-Plots in Seaborn.mp4 (40.9 MB)
• 007 Regression Plots and Squarify.en.srt (16.1 KB)
• 007 Regression Plots and Squarify.mp4 (56.5 MB)
• [GigaCourse.Com].url (0.0 KB)

• 001 What is Geoplotlib_.en.srt (10.6 KB)
• 001 What is Geoplotlib_.mp4 (32.2 MB)
• 002 Example - 1.en.srt (10.0 KB)
• 002 Example - 1.mp4 (36.4 MB)
• 003 Example - 2.en.srt (19.3 KB)
• 003 Example - 2.mp4 (76.3 MB)
• 004 Example - 3.en.srt (11.8 KB)
• 004 Example - 3.mp4 (47.8 MB)

• 001 AI, Machine Learning and Deep Learning.en.srt (5.7 KB)
• 001 AI, Machine Learning and Deep Learning.mp4 (16.2 MB)
• 002 History of Machine Learning.en.srt (8.1 KB)
• 002 History of Machine Learning.mp4 (23.9 MB)
• 003 Turing Machine and Turing Test.en.srt (13.8 KB)
• 003 Turing Machine and Turing Test.mp4 (40.9 MB)
• 004 What is Deep Learning.en.srt (7.4 KB)
• 004 What is Deep Learning.mp4 (20.5 MB)
• 005 Learning representations from data.en.srt (13.9 KB)
• 005 Learning representations from data.mp4 (34.9 MB)
• 006 Workflow of Machine Learning.en.srt (11.1 KB)
• 006 Workflow of Machine Learning.mp4 (31.7 MB)
• 007 Machine Learning Methods.en.srt (16.6 KB)
• 007 Machine Learning Methods.mp4 (45.5 MB)
• 008 Supervised Machine Learning Methods - 1.en.srt (10.8 KB)
• 008 Supervised Machine Learning Methods - 1.mp4 (30.9 MB)
• 009 Supervised Machine Learning Methods - 2.en.srt (15.8 KB)
• 009 Supervised Machine Learning Methods - 2.mp4 (55.4 MB)
• 010 Supervised Machine Learning Methods - 3.en.srt (16.4 KB)
• 010 Supervised Machine Learning Methods - 3.mp4 (56.1 MB)
• 011 Supervised Machine Learning Methods - 4.en.srt (19.5 KB)
• 011 Supervised Machine Learning Methods - 4.mp4 (70.3 MB)
• 012 Unsupervised Machine Learning Methods.en.srt (27.6 KB)
• 012 Unsupervised Machine Learning Methods.mp4 (87.9 MB)
• 013 Gathering data.en.srt (5.9 KB)
• 013 Gathering data.mp4 (17.6 MB)
• 014 Data pre-processing.en.srt (6.5 KB)
• 014 Data pre-processing.mp4 (26.0 MB)
• 015 Choosing the right algorithm and model.en.srt (9.2 KB)
• 015 Choosing the right algorithm and model.mp4 (149.0 MB)
• 016 Training and testing the model.en.srt (6.5 KB)
• 016 Training and testing the model.mp4 (83.9 MB)
• 017 Evaluation.en.srt (7.7 KB)
• 017 Evaluation.mp4 (24.4 MB)

• 001 What is Artificial Neural Network (ANN)_.en.srt (8.4 KB)
• 001 What is Artificial Neural Network (ANN)_.mp4 (23.0 MB)
• 002 Anatomy of Neural Network.en.srt (10.7 KB)
• 002 Anatomy of Neural Network.mp4 (42.3 MB)
• 003 Creating a Simple ANN.en.srt (15.1 KB)
• 003 Creating a Simple ANN.mp4 (79.5 MB)
• 004 Tensor Operations.en.srt (11.4 KB)
• 004 Tensor Operations.mp4 (62.1 MB)
• 005 Tensor Operations 2.en.srt (8.3 KB)
• 005 Tensor Operations 2.mp4 (29.8 MB)
• 006 Keras API.en.srt (8.3 KB)
• 006 Keras API.mp4 (23.3 MB)
• 007 Optimizers.en.srt (12.4 KB)
• 007 Optimizers.mp4 (42.3 MB)
• 008 What is TensorFlow.en.srt (20.8 KB)
• 008 What is TensorFlow.mp4 (62.6 MB)

• 001 What is CNN_.en.srt (17.9 KB)
• 001 What is CNN_.mp4 (72.4 MB)

• 001 Understanding RNN and LSTM Networks.en.srt (15.1 KB)
• 001 Understanding RNN and LSTM Networks.mp4 (50.8 MB)

• 001 What is Transfer Learning.en.srt (19.4 KB)
• 001 What is Transfer Learning.mp4 (85.3 MB)

• 001 Project - 1.en.srt (20.9 KB)
• 001 Project - 1.mp4 (101.6 MB)
• 002 Project - 2.en.srt (21.6 KB)
• 002 Project - 2.mp4 (169.3 MB)
• 003 Project - 3.en.srt (15.5 KB)
• 003 Project - 3.mp4 (82.3 MB)
• 004 Project - 4.en.srt (15.2 KB)
• 004 Project - 4.mp4 (72.3 MB)
• [GigaCourse.Com].url (0.0 KB)

• 001 BONUS.html (30.2 KB)

• [GigaCourse.Com].url (0.0 KB)