https://github.com/mohitbansal964/machine-learning-algorithms

Implementation of machine learning algorithms like linear regression, logistic regression, decision trees, etc. in python
https://github.com/mohitbansal964/machine-learning-algorithms

decision-tree-classifier decision-trees jupyter-notebook linear-regression logistic-regression machine-learning machine-learning-algorithms naive-bayes naive-bayes-classifier python python3 random-forest sklearn

Last synced: about 1 month ago
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Implementation of machine learning algorithms like linear regression, logistic regression, decision trees, etc. in python

• Host: GitHub
• URL: https://github.com/mohitbansal964/machine-learning-algorithms
• Owner: mohitbansal964
• Created: 2018-09-30T09:38:30.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-12-18T21:20:28.000Z (about 6 years ago)
• Last Synced: 2024-11-16T09:18:21.015Z (3 months ago)
• Topics: decision-tree-classifier, decision-trees, jupyter-notebook, linear-regression, logistic-regression, machine-learning, machine-learning-algorithms, naive-bayes, naive-bayes-classifier, python, python3, random-forest, sklearn
• Language: Jupyter Notebook
• Size: 11.1 MB
• Stars: 1
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine-Learning-Algorithms

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.