[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

Creation Time	Nov. 20, 2023, 8:26 a.m.
Last Access Time	Nov. 20, 2024, 10:33 p.m.
File Size	4.5 GB
Keywords	Python Matplotlib - Deep Udemy Machine GigaCourse Learning Com Pandas
Total Requests	53
Total Files	191
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16 Projects/002 Project - 2.mp4 169.3 MB
11 Machine Learning/015 Choosing the right algorithm and model.mp4 149.0 MB
05 Numpy Library/008 Using Numpy in Linear Algebra.mp4 112.2 MB
08 Matplotlib/008 Basic Plots in Matplotlib I.mp4 104.4 MB
07 Data Frame with Pandas/009 Combining Data Frames Part – I.mp4 103.6 MB
16 Projects/001 Project - 1.mp4 101.6 MB
09 Seaborn/005 Basic Plots in Seaborn.mp4 92.8 MB
11 Machine Learning/012 Unsupervised Machine Learning Methods.mp4 87.9 MB
15 Transfer Learning/001 What is Transfer Learning.mp4 85.3 MB
07 Data Frame with Pandas/010 Combining Data Frames Part – II.mp4 84.2 MB
11 Machine Learning/016 Training and testing the model.mp4 83.9 MB
06 Using Pandas for Data Manipulation/002 Series and Features.mp4 83.5 MB
16 Projects/003 Project - 3.mp4 82.3 MB
07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.mp4 79.8 MB
12 Artificial Neural Network/003 Creating a Simple ANN.mp4 79.5 MB
07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.mp4 79.3 MB
05 Numpy Library/005 Numpy Functions.mp4 78.5 MB
10 Geoplotlib/003 Example - 2.mp4 76.3 MB
05 Numpy Library/007 Numpy Exercises.mp4 74.2 MB
13 Convolutional Neural Network (CNN)/001 What is CNN_.mp4 72.4 MB
16 Projects/004 Project - 4.mp4 72.3 MB
07 Data Frame with Pandas/011 Work with Dataset Files.mp4 70.7 MB
11 Machine Learning/011 Supervised Machine Learning Methods - 4.mp4 70.3 MB
07 Data Frame with Pandas/008 Dealing with Missing Data.mp4 69.2 MB
03 Fundamentals of Python/005 Lists, Tuples, Dictionaries and Sets.mp4 66.3 MB
08 Matplotlib/004 Figure, Subplot and Axes.mp4 65.7 MB
12 Artificial Neural Network/008 What is TensorFlow.mp4 62.6 MB
12 Artificial Neural Network/004 Tensor Operations.mp4 62.1 MB
08 Matplotlib/005 Figure Customization.mp4 59.1 MB
04 Object Oriented Programming/005 Overriding and Overloading.mp4 58.8 MB
07 Data Frame with Pandas/002 Data Frame attributes and Methods Part – II.mp4 57.0 MB
09 Seaborn/007 Regression Plots and Squarify.mp4 56.5 MB
11 Machine Learning/010 Supervised Machine Learning Methods - 3.mp4 56.1 MB
11 Machine Learning/009 Supervised Machine Learning Methods - 2.mp4 55.4 MB
07 Data Frame with Pandas/005 Groupby Operations.mp4 52.6 MB
08 Matplotlib/009 Basic Plots in Matplotlib II.mp4 51.5 MB
09 Seaborn/003 Example.mp4 51.3 MB
14 Recurrent Neural Network and LTSM/001 Understanding RNN and LSTM Networks.mp4 50.8 MB
07 Data Frame with Pandas/004 Multi index.mp4 50.8 MB
03 Fundamentals of Python/004 Loops.mp4 49.1 MB
07 Data Frame with Pandas/003 Data Frame attributes and Methods Part – III.mp4 48.1 MB
05 Numpy Library/003 Array and features.mp4 47.9 MB
10 Geoplotlib/004 Example - 3.mp4 47.8 MB
03 Fundamentals of Python/010 Exercise Solution.mp4 47.7 MB
11 Machine Learning/007 Machine Learning Methods.mp4 45.5 MB
09 Seaborn/004 Color Palettes.mp4 45.4 MB
12 Artificial Neural Network/007 Optimizers.mp4 42.3 MB
12 Artificial Neural Network/002 Anatomy of Neural Network.mp4 42.3 MB
05 Numpy Library/009 NumExpr Guide.mp4 42.2 MB
03 Fundamentals of Python/001 Data Types in Python.mp4 41.1 MB
09 Seaborn/006 Multi-Plots in Seaborn.mp4 40.9 MB
11 Machine Learning/003 Turing Machine and Turing Test.mp4 40.9 MB
07 Data Frame with Pandas/007 Missing Data and Data Munging Part II.mp4 40.8 MB
03 Fundamentals of Python/006 Data Type Operators and Methods.mp4 40.5 MB
05 Numpy Library/006 Indexing and Slicing.mp4 40.4 MB
09 Seaborn/002 Controlling Figure Aesthetics.mp4 39.2 MB
02 Python Setup/001 Installing Anaconda Distribution and Python.mp4 37.5 MB
10 Geoplotlib/002 Example - 1.mp4 36.4 MB
11 Machine Learning/005 Learning representations from data.mp4 34.9 MB
03 Fundamentals of Python/003 Conditionals.mp4 34.6 MB
04 Object Oriented Programming/002 Constructor.mp4 33.9 MB
04 Object Oriented Programming/004 Inheritance.mp4 32.6 MB
10 Geoplotlib/001 What is Geoplotlib_.mp4 32.2 MB
11 Machine Learning/006 Workflow of Machine Learning.mp4 31.7 MB
11 Machine Learning/008 Supervised Machine Learning Methods - 1.mp4 30.9 MB
12 Artificial Neural Network/005 Tensor Operations 2.mp4 29.8 MB
03 Fundamentals of Python/002 Operators in Python.mp4 29.6 MB
05 Numpy Library/001 What is Numpy_.mp4 26.7 MB
08 Matplotlib/003 Pyplot – Pylab - Matplotlib.mp4 26.6 MB
08 Matplotlib/002 Using Matplotlib.mp4 26.5 MB
03 Fundamentals of Python/008 Functions in Python.mp4 26.1 MB
11 Machine Learning/014 Data pre-processing.mp4 26.0 MB
08 Matplotlib/006 Plot Customization.mp4 25.8 MB
02 Python Setup/002 Overview of Jupyter Notebook and Google Colab.mp4 25.4 MB
11 Machine Learning/017 Evaluation.mp4 24.4 MB
11 Machine Learning/002 History of Machine Learning.mp4 23.9 MB
04 Object Oriented Programming/003 Methods.mp4 23.6 MB
12 Artificial Neural Network/006 Keras API.mp4 23.3 MB
12 Artificial Neural Network/001 What is Artificial Neural Network (ANN)_.mp4 23.0 MB
08 Matplotlib/007 Grid, Spines, Ticks.mp4 22.4 MB
06 Using Pandas for Data Manipulation/001 What is Pandas_.mp4 22.3 MB
03 Fundamentals of Python/007 Modules in Python.mp4 21.1 MB
11 Machine Learning/004 What is Deep Learning.mp4 20.5 MB
08 Matplotlib/001 Data Visualization with Python Masterclass.mp4 17.9 MB
11 Machine Learning/013 Gathering data.mp4 17.6 MB
05 Numpy Library/004 Array’s Operators.mp4 17.6 MB
04 Object Oriented Programming/001 Logic of OOP.mp4 16.4 MB
11 Machine Learning/001 AI, Machine Learning and Deep Learning.mp4 16.2 MB
01 Intro to Deep Learning with Python/001 Introduction to Deep Learning with Python.mp4 14.5 MB
05 Numpy Library/002 Why Numpy_.mp4 13.6 MB
09 Seaborn/001 What is Seaborn_.mp4 12.9 MB
03 Fundamentals of Python/009 Exercise Analyse.mp4 5.7 MB
05 Numpy Library/008 Using Numpy in Linear Algebra.mp4.vtx 442.5 KB
05 Numpy Library/008 Using Numpy in Linear Algebra.en.srt 31.9 KB
08 Matplotlib/008 Basic Plots in Matplotlib I.en.srt 31.5 KB
17 BONUS/001 BONUS.html 30.2 KB
11 Machine Learning/012 Unsupervised Machine Learning Methods.en.srt 27.6 KB
07 Data Frame with Pandas/006 Missing Data and Data Munging Part I.en.srt 22.9 KB
16 Projects/002 Project - 2.en.srt 21.6 KB
16 Projects/001 Project - 1.en.srt 20.9 KB
12 Artificial Neural Network/008 What is TensorFlow.en.srt 20.8 KB
05 Numpy Library/005 Numpy Functions.en.srt 19.9 KB
11 Machine Learning/011 Supervised Machine Learning Methods - 4.en.srt 19.5 KB
06 Using Pandas for Data Manipulation/002 Series and Features.en.srt 19.5 KB
15 Transfer Learning/001 What is Transfer Learning.en.srt 19.4 KB
10 Geoplotlib/003 Example - 2.en.srt 19.3 KB
03 Fundamentals of Python/005 Lists, Tuples, Dictionaries and Sets.en.srt 18.2 KB
08 Matplotlib/004 Figure, Subplot and Axes.en.srt 18.2 KB
07 Data Frame with Pandas/010 Combining Data Frames Part – II.en.srt 18.1 KB
07 Data Frame with Pandas/009 Combining Data Frames Part – I.en.srt 18.0 KB
13 Convolutional Neural Network (CNN)/001 What is CNN_.en.srt 17.9 KB
11 Machine Learning/007 Machine Learning Methods.en.srt 16.6 KB
11 Machine Learning/010 Supervised Machine Learning Methods - 3.en.srt 16.4 KB
07 Data Frame with Pandas/008 Dealing with Missing Data.en.srt 16.3 KB
08 Matplotlib/009 Basic Plots in Matplotlib II.en.srt 16.2 KB
07 Data Frame with Pandas/001 Data Frame Attributes and Methods Part – I.en.srt 16.2 KB
09 Seaborn/007 Regression Plots and Squarify.en.srt 16.1 KB
11 Machine Learning/009 Supervised Machine Learning Methods - 2.en.srt 15.8 KB
16 Projects/003 Project - 3.en.srt 15.5 KB
05 Numpy Library/007 Numpy Exercises.en.srt 15.4 KB
16 Projects/004 Project - 4.en.srt 15.2 KB
14 Recurrent Neural Network and LTSM/001 Understanding RNN and LSTM Networks.en.srt 15.1 KB
09 Seaborn/004 Color Palettes.en.srt 15.1 KB
12 Artificial Neural Network/003 Creating a Simple ANN.en.srt 15.1 KB
08 Matplotlib/005 Figure Customization.en.srt 14.5 KB
03 Fundamentals of Python/001 Data Types in Python.en.srt 14.1 KB
11 Machine Learning/005 Learning representations from data.en.srt 13.9 KB
11 Machine Learning/003 Turing Machine and Turing Test.en.srt 13.8 KB
07 Data Frame with Pandas/005 Groupby Operations.en.srt 12.8 KB
07 Data Frame with Pandas/004 Multi index.en.srt 12.5 KB
12 Artificial Neural Network/007 Optimizers.en.srt 12.4 KB
03 Fundamentals of Python/004 Loops.en.srt 12.4 KB
07 Data Frame with Pandas/011 Work with Dataset Files.en.srt 12.1 KB
05 Numpy Library/003 Array and features.en.srt 11.9 KB
07 Data Frame with Pandas/002 Data Frame attributes and Methods Part – II.en.srt 11.9 KB
10 Geoplotlib/004 Example - 3.en.srt 11.8 KB
12 Artificial Neural Network/004 Tensor Operations.en.srt 11.4 KB
07 Data Frame with Pandas/007 Missing Data and Data Munging Part II.en.srt 11.2 KB
09 Seaborn/002 Controlling Figure Aesthetics.en.srt 11.2 KB
11 Machine Learning/006 Workflow of Machine Learning.en.srt 11.1 KB
09 Seaborn/006 Multi-Plots in Seaborn.en.srt 11.1 KB
03 Fundamentals of Python/002 Operators in Python.en.srt 11.1 KB
11 Machine Learning/008 Supervised Machine Learning Methods - 1.en.srt 10.8 KB
12 Artificial Neural Network/002 Anatomy of Neural Network.en.srt 10.7 KB
10 Geoplotlib/001 What is Geoplotlib_.en.srt 10.6 KB
03 Fundamentals of Python/003 Conditionals.en.srt 10.0 KB
09 Seaborn/003 Example.en.srt 10.0 KB
10 Geoplotlib/002 Example - 1.en.srt 10.0 KB
07 Data Frame with Pandas/003 Data Frame attributes and Methods Part – III.en.srt 9.8 KB
04 Object Oriented Programming/005 Overriding and Overloading.en.srt 9.7 KB
03 Fundamentals of Python/006 Data Type Operators and Methods.en.srt 9.3 KB
03 Fundamentals of Python/008 Functions in Python.en.srt 9.3 KB
11 Machine Learning/015 Choosing the right algorithm and model.en.srt 9.2 KB
05 Numpy Library/006 Indexing and Slicing.en.srt 9.0 KB
08 Matplotlib/007 Grid, Spines, Ticks.en.srt 8.5 KB
12 Artificial Neural Network/001 What is Artificial Neural Network (ANN)_.en.srt 8.4 KB
12 Artificial Neural Network/005 Tensor Operations 2.en.srt 8.3 KB
12 Artificial Neural Network/006 Keras API.en.srt 8.3 KB
11 Machine Learning/002 History of Machine Learning.en.srt 8.1 KB
05 Numpy Library/009 NumExpr Guide.en.srt 8.0 KB
08 Matplotlib/002 Using Matplotlib.en.srt 7.9 KB
11 Machine Learning/017 Evaluation.en.srt 7.7 KB
05 Numpy Library/001 What is Numpy_.en.srt 7.6 KB
08 Matplotlib/003 Pyplot – Pylab - Matplotlib.en.srt 7.5 KB
11 Machine Learning/004 What is Deep Learning.en.srt 7.4 KB
04 Object Oriented Programming/002 Constructor.en.srt 7.2 KB
04 Object Oriented Programming/004 Inheritance.en.srt 7.0 KB
08 Matplotlib/006 Plot Customization.en.srt 6.9 KB
03 Fundamentals of Python/010 Exercise Solution.en.srt 6.6 KB
06 Using Pandas for Data Manipulation/001 What is Pandas_.en.srt 6.5 KB
11 Machine Learning/014 Data pre-processing.en.srt 6.5 KB
11 Machine Learning/016 Training and testing the model.en.srt 6.5 KB
02 Python Setup/002 Overview of Jupyter Notebook and Google Colab.en.srt 6.0 KB
01 Intro to Deep Learning with Python/001 Introduction to Deep Learning with Python.en.srt 5.9 KB
11 Machine Learning/013 Gathering data.en.srt 5.9 KB
11 Machine Learning/001 AI, Machine Learning and Deep Learning.en.srt 5.7 KB
03 Fundamentals of Python/007 Modules in Python.en.srt 5.5 KB
04 Object Oriented Programming/001 Logic of OOP.en.srt 5.3 KB
09 Seaborn/001 What is Seaborn_.en.srt 5.2 KB
05 Numpy Library/002 Why Numpy_.en.srt 5.0 KB
02 Python Setup/001 Installing Anaconda Distribution and Python.en.srt 4.8 KB
05 Numpy Library/004 Array’s Operators.en.srt 4.4 KB
04 Object Oriented Programming/003 Methods.en.srt 4.3 KB
08 Matplotlib/001 Data Visualization with Python Masterclass.en.srt 3.7 KB
03 Fundamentals of Python/009 Exercise Analyse.en.srt 2.3 KB
01 Intro to Deep Learning with Python/002 Project Files and Course Documents.html 1.2 KB
0. Websites you may like/[GigaCourse.Com].url 49 bytes
03 Fundamentals of Python/[GigaCourse.Com].url 49 bytes
09 Seaborn/[GigaCourse.Com].url 49 bytes
16 Projects/[GigaCourse.Com].url 49 bytes
[GigaCourse.Com].url 49 bytes

[GigaCourse.Com] Udemy - Python Machine Learning, Deep Learning, Pandas, Matplotlib

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