NOTE: I created this repository for educational purposes. It will host a number of projects as part of the process and some exercises that we created, just purely a learning process. Not perfectly done.
Machine learning algorithms:
- Algorithm 1: Linear Regression
- Algorithm 2: Logistic Regression
- Algorithm 3: Linear Discriminant Analysis
- Algorithm 4: Classification and Regression Trees
- Algorithm 5: Naive Bayes
- Algorithm 6: K-Nearest Neighbors
- Algorithm 7: Learning Vector Quantization
- Algorithm 8: Support Vector Machines
- Algorithm 9: Bagged Decision Trees and Random Forest
- Algorithm 10: Boosting and AdaBoost
Copyright  [Madona Syombua]
Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at
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