├── 01. Basics ├── 01. Find-S & List Then Eliminate.ipynb ├── 02. Candidate Elimination.ipynb ├── 03. Data Manipulation.ipynb ├── 04. ID3.ipynb ├── 05. ID3.ipynb ├── 06. NB Classifier .ipynb ├── 07. NB Classifier.ipynb ├── 08. Bayesian Network.ipynb ├── 09. EM Algorithm.ipynb ├── 10. SVM.ipynb ├── 11. K-NN.ipynb ├── 12. K-means Cluster.ipynb ├── 13. Weighted Regression.ipynb ├── 14. Simple ANN.ipynb ├── 15. Genetic Algorithm.ipynb ├── 16.Q-Learning Algorithm.ipynb └── Dataset │ ├── FindS.csv │ ├── data.csv │ ├── finds1.csv │ ├── heart_disease_data.csv │ ├── pima-indians-diabetes.csv │ ├── test_data.csv │ ├── training_data.csv │ ├── tree │ ├── tree.dot │ ├── weather.csv │ └── weatherData.csv ├── 02. Linear Regression ├── 01. Linear Regression on Marketing.ipynb ├── 02. Linear Regression on Car data.ipynb ├── 03. House Price Prediction using Linear Regression.ipynb └── Datasets │ ├── CarPrice.csv │ ├── marketing.csv │ ├── submission.csv │ ├── testh.csv │ └── trainh.csv ├── 03. Logistic Regression ├── 01. Logistic Regression on Marketing.ipynb ├── 02. Logistic_Regression_Titanic.ipynb ├── 03. Diabetes-logistic-regression.ipynb └── Datasets │ ├── diabetes.csv │ ├── gender_submission.csv │ ├── marketing.csv │ ├── test.csv │ └── train.csv ├── 04. Decisions Trees ├── 01. Decision Trees and Random Forests SNA.ipynb ├── 02. Decision Trees and Random Forests on House Price Prediction.ipynb └── Datasets │ ├── Social_Network_Ads.csv │ ├── dvf │ └── house.csv ├── 05. K Means ├── 01. kmeans-clustering-for-customer-data.ipynb └── Datasets │ ├── Mall_Customers.csv │ └── fh ├── 06. K nearest Neighbour ├── 01. KNearestNeighbors.ipynb ├── 02. KNN classifier for SNA.ipynb ├── 03. KNN on MNIST for Digit Recognition .ipynb └── Datasets │ ├── 01. KNearestNeighbors.ipynb │ ├── 02. KNN classifier for SNA.ipynb │ └── 03. KNN on MNIST for Digit Recognition .ipynb ├── Games └── 01. ColorMatch Game.ipynb ├── MNIST Data Hands-on.ipynb └── README.md /01. Basics/01. 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