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25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
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27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
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23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
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23. Creating Support Vector Machine Model in R/4. Classification SVM model using Linear Kernel.mp4 145.9 MB
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27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
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37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
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5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
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27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
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27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
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7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
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38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.2 MB
23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
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27. ANN in R/8. Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37. Time Series - Preprocessing in Python/3. Time Series - Visualization in Python.mp4 173.2 MB
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26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 159.0 MB
23. Creating Support Vector Machine Model in R/4. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.2 MB
23. Creating Support Vector Machine Model in R/8. SVM based Regression Model in R.mp4 111.3 MB
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26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
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07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
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38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
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23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
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38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
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14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
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38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
14 Simple Decision Trees/013 Building a Regression Tree in R.mp4 108.3 MB
35 Transfer Learning in R/001 Project - Transfer Learning - VGG16 (Implementation).mp4 106.5 MB
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27 ANN in R/008 Saving - Restoring Models and Using Callbacks.mp4 226.5 MB
37 Time Series - Preprocessing in Python/003 Time Series - Visualization in Python.mp4 173.2 MB
18 Ensemble technique 3 - Boosting/007 XGBoosting in R.mp4 169.1 MB
26 ANN in Python/009 Building Neural Network for Regression Problem.mp4 163.5 MB
26 ANN in Python/011 Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23 Creating Support Vector Machine Model in R/004 Classification SVM model using Linear Kernel.mp4 145.9 MB
27 ANN in R/006 Building Regression Model with Functional API.mp4 137.5 MB
27 ANN in R/003 Building,Compiling and Training.mp4 137.1 MB
34 Transfer Learning _ Basics/006 Project - Transfer Learning - VGG16.mp4 135.4 MB
07 Linear Regression/020 Ridge regression and Lasso in Python.mp4 135.1 MB
25 Neural Networks - Stacking cells to create network/003 Back Propagation.mp4 128.1 MB
38 Time Series - Important Concepts/005 Differencing in Python.mp4 118.5 MB
37 Time Series - Preprocessing in Python/005 Time Series - Feature Engineering in Python.mp4 118.2 MB
27 ANN in R/002 Data Normalization and Test-Train Split.mp4 117.2 MB
05 Introduction to Machine Learning/001 Introduction to Machine Learning.mp4 114.5 MB
37 Time Series - Preprocessing in Python/001 Data Loading in Python.mp4 114.1 MB
23 Creating Support Vector Machine Model in R/008 SVM based Regression Model in R.mp4 111.3 MB
07 Linear Regression/021 Ridge regression and Lasso in R.mp4 108.5 MB
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72 - 13.3 Sort in Pandas.mp4 316.6 MB
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67 - 12.2 Use regular expressions.mp4 298.4 MB
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51 - 9.5 Use Seaborn for 2D plots.mp4 274.4 MB
10 - 2.4 Understand compatibility with Jupyter.mp4 270.6 MB
53 - 9.7 Specialized Visualization Libraries.mp4 253.4 MB
27 - 5.4 Work with the numpy array.mp4 245.8 MB
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48 - 9.2 Learn SciPy.mp4 697.3 MB
77 - 14.4 Use function-based concurrency.mp4 637.7 MB
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85 - 16.2 Visual Studio Code.mp4 382.4 MB
79 - 15.1 Share with Github.mp4 375.5 MB
50 - 9.4 Learn TensorFlow.mp4 358.5 MB
75 - 14.2 Read and write with Pandas - CSV, JSON.mp4 352.8 MB
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07 - 2.1 Create your first Colab document.mp4 344.8 MB
45 - 8.5 Advanced Use of Functions.mp4 334.5 MB
72 - 13.3 Sort in Pandas.mp4 316.6 MB
47 - 9.1 Learn NumPy.mp4 301.9 MB
67 - 12.2 Use regular expressions.mp4 298.4 MB
52 - 9.6 Use Plotly for interactive plots.mp4 274.8 MB
51 - 9.5 Use Seaborn for 2D plots.mp4 274.4 MB
10 - 2.4 Understand compatibility with Jupyter.mp4 270.6 MB
53 - 9.7 Specialized Visualization Libraries.mp4 253.4 MB
27 - 5.4 Work with the numpy array.mp4 245.8 MB
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18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
34. Transfer Learning Basics/6. Project - Transfer Learning - VGG16.mp4 135.4 MB
7. Linear Regression/20. Ridge regression and Lasso in Python.mp4 135.1 MB
25. Neural Networks - Stacking cells to create network/3. Back Propagation.mp4 128.1 MB
38. Time Series - Important Concepts/5. Differencing in Python.mp4 118.5 MB
37. Time Series - Preprocessing in Python/5. Time Series - Feature Engineering in Python.mp4 118.2 MB
27. ANN in R/2. Data Normalization and Test-Train Split.mp4 117.2 MB
5. Introduction to Machine Learning/1. Introduction to Machine Learning.mp4 114.5 MB
37. Time Series - Preprocessing in Python/1. Data Loading in Python.mp4 114.1 MB
23. Creating Support Vector Machine Model in R/7. SVM based Regression Model in R.mp4 111.3 MB
7. Linear Regression/21. Ridge regression and Lasso in R.mp4 108.5 MB
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18. Ensemble technique 3 - Boosting/7. XGBoosting in R.mp4 169.1 MB
26. ANN in Python/9. Building Neural Network for Regression Problem.mp4 163.5 MB
26. ANN in Python/11. Saving - Restoring Models and Using Callbacks.mp4 158.9 MB
23. Creating Support Vector Machine Model in R/3. Classification SVM model using Linear Kernel.mp4 145.9 MB
27. ANN in R/6. Building Regression Model with Functional API.mp4 137.5 MB
27. ANN in R/3. Building,Compiling and Training.mp4 137.1 MB
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