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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
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1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
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7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
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4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
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6 - Support Vector Machines/58 - Kernels Intuition.mp4 80.8 MB
6 - Support Vector Machines/64 - Crossvalidation.mp4 80.2 MB
1 - Introduction/1 - Introduction.mp4 73.3 MB
5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 72.5 MB
3 - Naïve Bayes/10 - The HamorSpam Example.mp4 70.1 MB
3 - Naïve Bayes/9 - Bayes Theorem.mp4 69.1 MB
6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 65.4 MB
5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 62.5 MB
6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 62.0 MB
4 - KNearest Neighbors/37 - Pros and Cons.mp4 57.9 MB
5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 55.8 MB
7 - Ridge and Lasso Regression/78 - Performing Linear Regression.mp4 55.5 MB
5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 55.4 MB
4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 53.1 MB
6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 52.3 MB
5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 49.6 MB
4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 49.0 MB
7 - Ridge and Lasso Regression/72 - Ridge Regression Mechanics.mp4 48.9 MB
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~Get Your Files Here !/8. Linear Regression With Python/5. Linear Regression With Python.mp4 149.7 MB
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~Get Your Files Here !/17. Deep Learning/2. Introduction To Artificial Neural Networks (ANNs).mp4 74.8 MB
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~Get Your Files Here !/17. Deep Learning/5. ANN With Back Propagation.mp4 68.3 MB
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~Get Your Files Here !/14. Discriminant Analysis With A Case Study/2. Discriminant Analysis - Lecture 2.mp4 59.9 MB
~Get Your Files Here !/7. Data Visualization With Python/3. Data Analysis And Visualization.mp4 52.3 MB
~Get Your Files Here !/10. Complete Decision Tree With Python/7. Decision Tree Hands-on With Python - Lecture 2.mp4 51.2 MB
~Get Your Files Here !/15. Support Vector Machines With Python/3. Support Vector Machines - Lecture 3.mp4 50.9 MB
~Get Your Files Here !/13. Random Forest With Python/1. Ensemble Classifiers- Random Forest - Lecture 1.mp4 49.1 MB
~Get Your Files Here !/10. Complete Decision Tree With Python/1. Fundamentals Of Decision Tree - Lecture 1.mp4 48.8 MB
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~Get Your Files Here !/4. Self-Supervised Learning/7. SimCLR, An UnSupervised Contrastive Pretext Model.mp4 400.0 MB
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9. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
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9. Appendix/3. Windows-Focused Environment Setup 2018.mp4 195.4 MB
3. Naive Bayes and Bayes Classifiers/1. Bayes Classifier Intuition (Continuous).mp4 84.1 MB
9. Appendix/9. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
3. Naive Bayes and Bayes Classifiers/2. Bayes Classifier Intuition (Discrete).mp4 52.5 MB
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9. Appendix/5. How to Code by Yourself (part 1).mp4 25.7 MB
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2. K-Nearest Neighbor/3. KNN in Code with MNIST.mp4 18.8 MB
2. K-Nearest Neighbor/1. K-Nearest Neighbor Intuition.mp4 18.4 MB
6. Practical Machine Learning/5. Sci-Kit Learn.mp4 16.6 MB
3. Naive Bayes and Bayes Classifiers/3. Naive Bayes.mp4 16.5 MB
9. Appendix/6. How to Code by Yourself (part 2).mp4 15.5 MB
3. Naive Bayes and Bayes Classifiers/5. Naive Bayes in Code with MNIST.mp4 15.1 MB
4. Decision Trees/4. Maximizing Information Gain.mp4 14.6 MB
5. Perceptrons/2. Perceptron in Code.mp4 14.4 MB