| FILENAME | SIZE |  | 1 - Introduction/1 - Introduction.mp4 | 69.9 MB |
| 2 - Setting up the Environment/2 - Installing Anaconda.mp4 | 29.5 MB |
| 2 - Setting up the Environment/3 - Jupyter Dashboard Part 1.mp4 | 10.2 MB |
| 2 - Setting up the Environment/4 - Jupyter Dashboard Part 2.mp4 | 21 MB |
| 2 - Setting up the Environment/5 - Installing the relevant packages.mp4 | 22.8 MB |
 | 3 - Naïve Bayes/1 - Bayes Thought Experiment.html | 0 B |
| 3 - Naïve Bayes/10 - The HamorSpam Example.mp4 | 66.9 MB |
| 3 - Naïve Bayes/11 - The HamorSpam Example Assignment.html | 184 B |
 | 3 - Naïve Bayes/12 - Notebooks-and-Dataset.zip | 168.9 KB |
| 3 - Naïve Bayes/12 - The YouTube Dataset Creating the Data Frame.mp4 | 33.8 MB |
| 3 - Naïve Bayes/13 - CountVectorizer.mp4 | 37 MB |
| 3 - Naïve Bayes/14 - The YouTube Dataset Preprocessing.mp4 | 44 MB |
 | 3 - Naïve Bayes/15 - Exercise-1-solution.ipynb | 7.6 KB |
| 3 - Naïve Bayes/15 - Exercise-1.ipynb | 7 KB |
| 3 - Naïve Bayes/15 - The YouTube Dataset Preprocessing Assignment.html | 60 B |
| 3 - Naïve Bayes/15 - youtube-dataset.zip | 158.8 KB |
| 3 - Naïve Bayes/16 - The YouTube Dataset Classification.mp4 | 23.7 MB |
| 3 - Naïve Bayes/17 - Exercise-2-solution.ipynb | 7.7 KB |
| 3 - Naïve Bayes/17 - Exercise-2.ipynb | 8 KB |
| 3 - Naïve Bayes/17 - The YouTube Dataset Classification Assignment.html | 60 B |
| 3 - Naïve Bayes/17 - youtube-dataset.zip | 158.8 KB |
| 3 - Naïve Bayes/18 - The YouTube Dataset Confusion Matrix.mp4 | 17.8 MB |
| 3 - Naïve Bayes/19 - The YouTube Dataset Accuracy Precision Recall and the F1 score.mp4 | 37.7 MB |
| 3 - Naïve Bayes/2 - Bayes Theorem.html | 0 B |
| 3 - Naïve Bayes/20 - The YouTube Dataset Changing the Priors.mp4 | 40.3 MB |
 | 3 - Naïve Bayes/21 - 365-ML-infographic.pdf | 13.8 MB |
| 3 - Naïve Bayes/21 - Exercise-3-solution.ipynb | 7.2 KB |
| 3 - Naïve Bayes/21 - Exercise-3.ipynb | 3.8 KB |
| 3 - Naïve Bayes/21 - Machine-Learning-with-Naive-Bayes-Course-Notes-365-Data-Science.pdf | 518.6 KB |
| 3 - Naïve Bayes/21 - Naïve Bayes Assignment.html | 60 B |
| 3 - Naïve Bayes/3 - The HamorSpam Example.html | 0 B |
| 3 - Naïve Bayes/6 - 365-ML-infographic.pdf | 13.8 MB |
| 3 - Naïve Bayes/6 - Machine-Learning-with-Naive-Bayes-Course-Notes-365-Data-Science.pdf | 518.6 KB |
| 3 - Naïve Bayes/6 - Motivation.mp4 | 43.4 MB |
| 3 - Naïve Bayes/7 - Bayes Thought Experiment.mp4 | 33.7 MB |
| 3 - Naïve Bayes/8 - Bayes Thought Experiment Assignment.html | 90 B |
| 3 - Naïve Bayes/9 - Bayes Theorem.mp4 | 65.9 MB |
 | 3 - Naïve Bayes/How can you help GFC.txt | 286 B |
| 4 - KNearest Neighbors/22 - 365-ML-infographic.pdf | 13.8 MB |
| 4 - KNearest Neighbors/22 - Machine-Learning-with-K-Nearest-Neighbors-Course-Notes-365-Data-Science.pdf | 448.5 KB |
| 4 - KNearest Neighbors/22 - Motivation.mp4 | 24.4 MB |
| 4 - KNearest Neighbors/23 - Math Prerequisites Distance Metrics.mp4 | 27.8 MB |
| 4 - KNearest Neighbors/24 - KNeighborsClassifier-Notebooks.zip | 9.5 KB |
| 4 - KNearest Neighbors/24 - Random Dataset Generating the Dataset.mp4 | 16.9 MB |
| 4 - KNearest Neighbors/25 - Random Dataset Visualizing the Dataset.mp4 | 28.2 MB |
| 4 - KNearest Neighbors/26 - Random Dataset Classification.mp4 | 50.6 MB |
| 4 - KNearest Neighbors/27 - Random Dataset How to Break a Tie.mp4 | 26.8 MB |
| 4 - KNearest Neighbors/28 - Random Dataset Decision Regions.mp4 | 46 MB |
| 4 - KNearest Neighbors/29 - Random Dataset Choosing the Best Kvalue.mp4 | 32.6 MB |
| 4 - KNearest Neighbors/30 - Random Dataset Grid Search.mp4 | 27.9 MB |
| 4 - KNearest Neighbors/31 - Random Dataset Model Performance.mp4 | 21.2 MB |
| 4 - KNearest Neighbors/32 - KNeighbors Classifier Assignment.html | 60 B |
| 4 - KNearest Neighbors/32 - KNeighborsClassifier-Exercise.zip | 7.9 KB |
| 4 - KNearest Neighbors/33 - KNeighborsRegressor-Notebooks.zip | 4.7 KB |
| 4 - KNearest Neighbors/33 - Theory with a Practical Example.mp4 | 43.7 MB |
| 4 - KNearest Neighbors/34 - KNN vs Linear Regression A Linear Problem.mp4 | 46.7 MB |
| 4 - KNearest Neighbors/34 - LinearProblem-Notebooks.zip | 5.4 KB |
| 4 - KNearest Neighbors/35 - KNN vs Linear Regression A Nonlinear Problem.mp4 | 33.1 MB |
| 4 - KNearest Neighbors/35 - NonLinearProblem-Notebooks.zip | 5.8 KB |
| 4 - KNearest Neighbors/36 - KNeighbors Regressor Assignment.html | 60 B |
| 4 - KNearest Neighbors/36 - KNeighborsRegressor-Exercise.zip | 290.7 KB |
| 4 - KNearest Neighbors/37 - 365-ML-infographic.pdf | 13.8 MB |
| 4 - KNearest Neighbors/37 - Machine-Learning-with-K-Nearest-Neighbors-Course-Notes-365-Data-Science.pdf | 448.5 KB |
| 4 - KNearest Neighbors/37 - Pros and Cons.mp4 | 55.2 MB |
| 4 - KNearest Neighbors/4 - Motivation.html | 0 B |
| 4 - KNearest Neighbors/5 - Math Prerequisites Distance Metrics.html | 0 B |
| 5 - Decision Trees and Random Forests/38 - Course-Notes-Decision-Trees-and-Random-Forests.pdf | 1006.3 KB |
| 5 - Decision Trees and Random Forests/38 - What is a Tree in Computer Science.mp4 | 34.8 MB |
| 5 - Decision Trees and Random Forests/39 - The Concept of Decision Trees.mp4 | 31.6 MB |
| 5 - Decision Trees and Random Forests/40 - Decision Trees in Machine Learning.mp4 | 47.3 MB |
| 5 - Decision Trees and Random Forests/41 - Decision Trees Pros and Cons.mp4 | 69.1 MB |
| 5 - Decision Trees and Random Forests/42 - Practical Example The Iris Dataset.mp4 | 21.8 MB |
| 5 - Decision Trees and Random Forests/43 - 5.6.Creating-a-Decision-Tree.ipynb | 10.3 KB |
| 5 - Decision Trees and Random Forests/43 - Practical Example Creating a Decision Tree.mp4 | 32.8 MB |
| 5 - Decision Trees and Random Forests/44 - 5.7.Full-Iris-code.ipynb | 246.2 KB |
| 5 - Decision Trees and Random Forests/44 - Practical Example Plotting the Tree.mp4 | 43 MB |
| 5 - Decision Trees and Random Forests/45 - Decision Tree Metrics Intuition Gini Inpurity.mp4 | 53.2 MB |
| 5 - Decision Trees and Random Forests/46 - Decision Tree Metrics Information Gain.mp4 | 26.4 MB |
| 5 - Decision Trees and Random Forests/47 - Tree Pruning Dealing with Overfitting.mp4 | 39.4 MB |
| 5 - Decision Trees and Random Forests/48 - Random Forest as Ensemble Learning.mp4 | 32 MB |
| 5 - Decision Trees and Random Forests/49 - Bootstrapping.mp4 | 29.9 MB |
| 5 - Decision Trees and Random Forests/50 - From Bootstrapping to Random Forests.mp4 | 25.9 MB |
| 5 - Decision Trees and Random Forests/51 - 5.14.Random-Forest-Code-Glass-Dataset.ipynb | 12.7 KB |
| 5 - Decision Trees and Random Forests/51 - Glass-dataset.zip | 3.7 KB |
| 5 - Decision Trees and Random Forests/51 - Random Forest in Code Glass Dataset.mp4 | 52.8 MB |
| 5 - Decision Trees and Random Forests/52 - 5.15.Census-Data-Preprocessing.ipynb | 69.8 KB |
| 5 - Decision Trees and Random Forests/52 - Census Data and Income Preprocessing.mp4 | 59.6 MB |
| 5 - Decision Trees and Random Forests/52 - Census-Income-Dataset.zip | 612.3 KB |
| 5 - Decision Trees and Random Forests/53 - 5.16.Census-Data-Decision-Tree.ipynb | 444.8 KB |
| 5 - Decision Trees and Random Forests/53 - Training the Decision Tree.mp4 | 27.3 MB |
| 5 - Decision Trees and Random Forests/54 - 5.17.Census-Data-Random-Forest.ipynb | 75.7 KB |
| 5 - Decision Trees and Random Forests/54 - Course-Notes-Decision-Trees-and-Random-Forests.pdf | 1006.3 KB |
| 5 - Decision Trees and Random Forests/54 - Training the Random Forest.mp4 | 27.2 MB |
| 6 - Support Vector Machines/55 - 365-ML-infographic.pdf | 13.8 MB |
| 6 - Support Vector Machines/55 - Introduction to Support Vector Machines.mp4 | 62.4 MB |
| 6 - Support Vector Machines/56 - Linearly separable classes hard margin problem.mp4 | 59.2 MB |
| 6 - Support Vector Machines/57 - Nonlinearly separable classes soft margin problem.mp4 | 49.8 MB |
| 6 - Support Vector Machines/58 - Kernels Intuition.mp4 | 77.1 MB |
