- ML libraries
- Data Preprocessing
- Decision Tree ID3 algorithm
- Decision Tree C4.5 algorithm
- Decision Tree CART algorithm
- ANN (Aritificial Neural Network)
- Naïve Bayesian classifier
- k-Nearest Neighbor algorithm
- k-Means clustering algorithm
- Linear Regression
- Ensemble learning Algorithms - AdaBoost and Bagging
- Algorithms comparison
- Notifications
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This repository contains several ML algorithms wriiten from scratch that are covered in ML lab.
Topics
python linear-regression jupyter-notebook pandas naive-bayes-classifier artificial-neural-networks ensemble-learning adaboost data-preprocessing k-means-clustering k-nearest-neighbors decision-tree-id3 python-libraries stacking-ensemble bagging-ensemble model-training-and-evaluation ml-algorithms-from-scratch decision-tree-c45 decision-tree-cart
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