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| [GigaCourse.Com].url |
49B |
| [GigaCourse.Com].url |
49B |
| [GigaCourse.Com].url |
49B |
| [GigaCourse.Com].url |
49B |
| [GigaCourse.Com].url |
49B |
| 001 AI, Machine Learning and Deep Learning.en.srt |
5.69KB |
| 001 AI, Machine Learning and Deep Learning.mp4 |
16.23MB |
| 001 BONUS.html |
30.16KB |
| 001 Data Frame Attributes and Methods Part – I.en.srt |
16.16KB |
| 001 Data Frame Attributes and Methods Part – I.mp4 |
79.75MB |
| 001 Data Types in Python.en.srt |
14.07KB |
| 001 Data Types in Python.mp4 |
41.08MB |
| 001 Data Visualization with Python Masterclass.en.srt |
3.67KB |
| 001 Data Visualization with Python Masterclass.mp4 |
17.88MB |
| 001 Installing Anaconda Distribution and Python.en.srt |
4.79KB |
| 001 Installing Anaconda Distribution and Python.mp4 |
37.54MB |
| 001 Introduction to Deep Learning with Python.en.srt |
5.88KB |
| 001 Introduction to Deep Learning with Python.mp4 |
14.51MB |
| 001 Logic of OOP.en.srt |
5.30KB |
| 001 Logic of OOP.mp4 |
16.38MB |
| 001 Project - 1.en.srt |
20.90KB |
| 001 Project - 1.mp4 |
101.56MB |
| 001 Understanding RNN and LSTM Networks.en.srt |
15.14KB |
| 001 Understanding RNN and LSTM Networks.mp4 |
50.85MB |
| 001 What is Artificial Neural Network (ANN)_.en.srt |
8.40KB |
| 001 What is Artificial Neural Network (ANN)_.mp4 |
23.01MB |
| 001 What is CNN_.en.srt |
17.86KB |
| 001 What is CNN_.mp4 |
72.43MB |
| 001 What is Geoplotlib_.en.srt |
10.58KB |
| 001 What is Geoplotlib_.mp4 |
32.21MB |
| 001 What is Numpy_.en.srt |
7.64KB |
| 001 What is Numpy_.mp4 |
26.74MB |
| 001 What is Pandas_.en.srt |
6.54KB |
| 001 What is Pandas_.mp4 |
22.32MB |
| 001 What is Seaborn_.en.srt |
5.20KB |
| 001 What is Seaborn_.mp4 |
12.89MB |
| 001 What is Transfer Learning.en.srt |
19.43KB |
| 001 What is Transfer Learning.mp4 |
85.32MB |
| 002 Anatomy of Neural Network.en.srt |
10.74KB |
| 002 Anatomy of Neural Network.mp4 |
42.28MB |
| 002 Constructor.en.srt |
7.16KB |
| 002 Constructor.mp4 |
33.89MB |
| 002 Controlling Figure Aesthetics.en.srt |
11.19KB |
| 002 Controlling Figure Aesthetics.mp4 |
39.19MB |
| 002 Data Frame attributes and Methods Part – II.en.srt |
11.88KB |
| 002 Data Frame attributes and Methods Part – II.mp4 |
56.97MB |
| 002 Example - 1.en.srt |
9.95KB |
| 002 Example - 1.mp4 |
36.40MB |
| 002 History of Machine Learning.en.srt |
8.05KB |
| 002 History of Machine Learning.mp4 |
23.85MB |
| 002 Operators in Python.en.srt |
11.06KB |
| 002 Operators in Python.mp4 |
29.62MB |
| 002 Overview of Jupyter Notebook and Google Colab.en.srt |
5.95KB |
| 002 Overview of Jupyter Notebook and Google Colab.mp4 |
25.37MB |
| 002 Project - 2.en.srt |
21.62KB |
| 002 Project - 2.mp4 |
169.25MB |
| 002 Project Files and Course Documents.html |
1.17KB |
| 002 Series and Features.en.srt |
19.46KB |
| 002 Series and Features.mp4 |
83.55MB |
| 002 Using Matplotlib.en.srt |
7.85KB |
| 002 Using Matplotlib.mp4 |
26.53MB |
| 002 Why Numpy_.en.srt |
5.05KB |
| 002 Why Numpy_.mp4 |
13.64MB |
| 003 Array and features.en.srt |
11.94KB |
| 003 Array and features.mp4 |
47.91MB |
| 003 Conditionals.en.srt |
10.03KB |
| 003 Conditionals.mp4 |
34.63MB |
| 003 Creating a Simple ANN.en.srt |
15.10KB |
| 003 Creating a Simple ANN.mp4 |
79.48MB |
| 003 Data Frame attributes and Methods Part – III.en.srt |
9.79KB |
| 003 Data Frame attributes and Methods Part – III.mp4 |
48.05MB |
| 003 Example.en.srt |
10.01KB |
| 003 Example.mp4 |
51.32MB |
| 003 Example - 2.en.srt |
19.26KB |
| 003 Example - 2.mp4 |
76.27MB |
| 003 Methods.en.srt |
4.30KB |
| 003 Methods.mp4 |
23.64MB |
| 003 Project - 3.en.srt |
15.51KB |
| 003 Project - 3.mp4 |
82.34MB |
| 003 Pyplot – Pylab - Matplotlib.en.srt |
7.54KB |
| 003 Pyplot – Pylab - Matplotlib.mp4 |
26.60MB |
| 003 Turing Machine and Turing Test.en.srt |
13.79KB |
| 003 Turing Machine and Turing Test.mp4 |
40.90MB |
| 004 Array’s Operators.en.srt |
4.36KB |
| 004 Array’s Operators.mp4 |
17.58MB |
| 004 Color Palettes.en.srt |
15.12KB |
| 004 Color Palettes.mp4 |
45.42MB |
| 004 Example - 3.en.srt |
11.78KB |
| 004 Example - 3.mp4 |
47.81MB |
| 004 Figure, Subplot and Axes.en.srt |
18.19KB |
| 004 Figure, Subplot and Axes.mp4 |
65.66MB |
| 004 Inheritance.en.srt |
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| 004 Inheritance.mp4 |
32.63MB |
| 004 Loops.en.srt |
12.43KB |
| 004 Loops.mp4 |
49.10MB |
| 004 Multi index.en.srt |
12.49KB |
| 004 Multi index.mp4 |
50.80MB |
| 004 Project - 4.en.srt |
15.20KB |
| 004 Project - 4.mp4 |
72.26MB |
| 004 Tensor Operations.en.srt |
11.38KB |
| 004 Tensor Operations.mp4 |
62.12MB |
| 004 What is Deep Learning.en.srt |
7.38KB |
| 004 What is Deep Learning.mp4 |
20.53MB |
| 005 Basic Plots in Seaborn.mp4 |
92.79MB |
| 005 Figure Customization.en.srt |
14.54KB |
| 005 Figure Customization.mp4 |
59.06MB |
| 005 Groupby Operations.en.srt |
12.81KB |
| 005 Groupby Operations.mp4 |
52.59MB |
| 005 Learning representations from data.en.srt |
13.93KB |
| 005 Learning representations from data.mp4 |
34.90MB |
| 005 Lists, Tuples, Dictionaries and Sets.en.srt |
18.21KB |
| 005 Lists, Tuples, Dictionaries and Sets.mp4 |
66.35MB |
| 005 Numpy Functions.en.srt |
19.86KB |
| 005 Numpy Functions.mp4 |
78.52MB |
| 005 Overriding and Overloading.en.srt |
9.74KB |
| 005 Overriding and Overloading.mp4 |
58.82MB |
| 005 Tensor Operations 2.en.srt |
8.26KB |
| 005 Tensor Operations 2.mp4 |
29.78MB |
| 006 Data Type Operators and Methods.en.srt |
9.31KB |
| 006 Data Type Operators and Methods.mp4 |
40.46MB |
| 006 Indexing and Slicing.en.srt |
8.99KB |
| 006 Indexing and Slicing.mp4 |
40.39MB |
| 006 Keras API.en.srt |
8.26KB |
| 006 Keras API.mp4 |
23.30MB |
| 006 Missing Data and Data Munging Part I.en.srt |
22.86KB |
| 006 Missing Data and Data Munging Part I.mp4 |
79.35MB |
| 006 Multi-Plots in Seaborn.en.srt |
11.08KB |
| 006 Multi-Plots in Seaborn.mp4 |
40.94MB |
| 006 Plot Customization.en.srt |
6.90KB |
| 006 Plot Customization.mp4 |
25.75MB |
| 006 Workflow of Machine Learning.en.srt |
11.15KB |
| 006 Workflow of Machine Learning.mp4 |
31.67MB |
| 007 Grid, Spines, Ticks.en.srt |
8.48KB |
| 007 Grid, Spines, Ticks.mp4 |
22.39MB |
| 007 Machine Learning Methods.en.srt |
16.62KB |
| 007 Machine Learning Methods.mp4 |
45.55MB |
| 007 Missing Data and Data Munging Part II.en.srt |
11.23KB |
| 007 Missing Data and Data Munging Part II.mp4 |
40.79MB |
| 007 Modules in Python.en.srt |
5.53KB |
| 007 Modules in Python.mp4 |
21.06MB |
| 007 Numpy Exercises.en.srt |
15.41KB |
| 007 Numpy Exercises.mp4 |
74.18MB |
| 007 Optimizers.en.srt |
12.44KB |
| 007 Optimizers.mp4 |
42.32MB |
| 007 Regression Plots and Squarify.en.srt |
16.11KB |
| 007 Regression Plots and Squarify.mp4 |
56.50MB |
| 008 Basic Plots in Matplotlib I.en.srt |
31.55KB |
| 008 Basic Plots in Matplotlib I.mp4 |
104.40MB |
| 008 Dealing with Missing Data.en.srt |
16.28KB |
| 008 Dealing with Missing Data.mp4 |
69.23MB |
| 008 Functions in Python.en.srt |
9.29KB |
| 008 Functions in Python.mp4 |
26.06MB |
| 008 Supervised Machine Learning Methods - 1.en.srt |
10.75KB |
| 008 Supervised Machine Learning Methods - 1.mp4 |
30.94MB |
| 008 Using Numpy in Linear Algebra.en.srt |
31.85KB |
| 008 Using Numpy in Linear Algebra.mp4 |
112.16MB |
| 008 Using Numpy in Linear Algebra.mp4.vtx |
442.50KB |
| 008 What is TensorFlow.en.srt |
20.79KB |
| 008 What is TensorFlow.mp4 |
62.61MB |
| 009 Basic Plots in Matplotlib II.en.srt |
16.24KB |
| 009 Basic Plots in Matplotlib II.mp4 |
51.52MB |
| 009 Combining Data Frames Part – I.en.srt |
18.01KB |
| 009 Combining Data Frames Part – I.mp4 |
103.55MB |
| 009 Exercise Analyse.en.srt |
2.26KB |
| 009 Exercise Analyse.mp4 |
5.70MB |
| 009 NumExpr Guide.en.srt |
8.00KB |
| 009 NumExpr Guide.mp4 |
42.19MB |
| 009 Supervised Machine Learning Methods - 2.en.srt |
15.80KB |
| 009 Supervised Machine Learning Methods - 2.mp4 |
55.36MB |
| 010 Combining Data Frames Part – II.en.srt |
18.13KB |
| 010 Combining Data Frames Part – II.mp4 |
84.17MB |
| 010 Exercise Solution.en.srt |
6.65KB |
| 010 Exercise Solution.mp4 |
47.69MB |
| 010 Supervised Machine Learning Methods - 3.en.srt |
16.38KB |
| 010 Supervised Machine Learning Methods - 3.mp4 |
56.07MB |
| 011 Supervised Machine Learning Methods - 4.en.srt |
19.46KB |
| 011 Supervised Machine Learning Methods - 4.mp4 |
70.31MB |
| 011 Work with Dataset Files.en.srt |
12.09KB |
| 011 Work with Dataset Files.mp4 |
70.73MB |
| 012 Unsupervised Machine Learning Methods.en.srt |
27.60KB |
| 012 Unsupervised Machine Learning Methods.mp4 |
87.94MB |
| 013 Gathering data.en.srt |
5.86KB |
| 013 Gathering data.mp4 |
17.61MB |
| 014 Data pre-processing.en.srt |
6.51KB |
| 014 Data pre-processing.mp4 |
25.97MB |
| 015 Choosing the right algorithm and model.en.srt |
9.21KB |
| 015 Choosing the right algorithm and model.mp4 |
148.96MB |
| 016 Training and testing the model.en.srt |
6.48KB |
| 016 Training and testing the model.mp4 |
83.89MB |
| 017 Evaluation.en.srt |
7.67KB |
| 017 Evaluation.mp4 |
24.37MB |