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Machine Learning Lab Program

 Machine Learning Programs


  1. Implement the matrices operations using both Numpy and pandas 
  2. Using matplotlib to perform data visualization on the standard dataset 
  3. Implement Linear Regression using ordinary least square(OLS) and Gradient Descent methods
  4. Implement quadratic Regression  
  5. Implement Logistic Regression
  6. Evaluate performance measures on regression models (Linear, quadratic and Logistic).
  7. Implement classification using SVM  
  8. Implement Decision-tree learning  
  9. Implement Bagging using Random Forests  
  10. Implement K-means Clustering to Find Natural Patterns in Data  
  11. Implement DBSCAN clustering  
  12. Implement the Gaussian Mixture Model  
  13. Solve the curse of dimensionality by implementing the PCA algorithm on a high-dimensional  
  14. Comparison of Machine Learning algorithms  

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