https://github.com/rachamallayeswanthreddy/machine-learning-lab

Weekly assignments in BCSE209P Lab Component Course of ML
https://github.com/rachamallayeswanthreddy/machine-learning-lab

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Weekly assignments in BCSE209P Lab Component Course of ML

• Host: GitHub
• URL: https://github.com/rachamallayeswanthreddy/machine-learning-lab
• Owner: RachamallaYeswanthReddy
• Created: 2024-02-26T17:11:18.000Z (8 months ago)
• Default Branch: main
• Last Pushed: 2024-04-22T05:52:47.000Z (7 months ago)
• Last Synced: 2024-04-22T06:44:01.388Z (7 months ago)
• Language: Jupyter Notebook
• Size: 6.84 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Machine-Learning-Lab

Weekly assignments in BCSE209P Lab Component Course of ML 

Lab 1 -  **Data Visualization**

Lab 2 -  **Data Handling**

Lab 3 -  **Linear Regression**

        -> Univariate linear regression 

        -> Multiple Linear Regression 

Lab 4 - **Comparing Logistic Regression and Naïve Bayes for Classification (Iris dataset using scikit-learn)**

Lab 5 and 6 - **ID3 and CART Algorithm** 

Lab 7 - **Single layer perceptron & MultiLayer Perceptron**

Lab 8 - Clustering **K-means and K-medoid Clustering**

Lab Assessment 3 - **K-Means, Hierarchical Clustering, and DBSCAN algorithms**