This repository is for learning Machine Learning. It contains Machine Learning Lab.

This repository contains 15 experiments along with some practice files related to some of the specific algorithms. Practice files will be updated along side.

Overall File

This overall file contains all experiments starting from experiment 1 to 15 at a glance.

• Experiment 0 Familirization of Python General Content

• Experiment 1 Union and Intersection Overall File

• Experiment 2 Frequency Count Of Words Overall File

• Experiment 3 Matrix Multiplication Overall File

• Experiment 4 Longest Words Overall File

• Experiment 5 Most Frequent words in a file Overall File

• Experiment 6 Familiarization with Matplotlib, Numpy, Pandas and Scikit-Learn Brief explanation about matplotlib, numpy , pandas and scikit-learn

• Experiment 7 Linear Regression LR

  • Simple Linear Regression SLR
  • Polynomial Regression PLR
  • Linear Regression using Back Propagation LR using BP

• Experiment 8 Logestic Regression LgR

• Experiment 9 Naive Bayes NB

• Experiment 10 Decision Tree DT

• Experiment 11 Support Vector Machine SVM

• Experiment 12 K-Nearest Neighbour KNN

• Experiment 13 K-Means K-Means

• Experiment 14 Artificial Neural Network using Back Propagation ANN using BP

• Experiment 15 Principal Component Analysis PCA

For practice you can find files in the practice session Practice