Implementation of machine learning algorithms like linear regression, logistic regression, decision trees, etc. in python
Implementation of different Machine Learning Algorithms for different datasets in Python.
Linear Regression for boston dataset, combine cycle power plant dataset.
Logistic Regression for Titanic dataset.
Decision Tree for Iris Dateset, OR operation, Random Dataset.
Naive Bayes for Iris Dataset.
K- Nearest Neighbors for Breast Cancer Dataset.
Neural Network with 1 hidden layer of 2 units for XOR.
Conolutional Neural Network for MNIST dataset in Keras.