Data analysis:

Numpy

Pandas

Matplotlib

Seaborn

Machine Learning Algorithms:

1. Regression:

• Linear Regression-

  • Linear Regression(from scratch)
  • Linear Regression(sklearn)
  • Multivariate Regression(sklearn)
  • Polynomial Regression(sklearn)

• Logistic Regression-

  • Logistic Regression(sklearn)

2. Classification:

• K Nearest Neighbours-

  • KNN(from scratch)
  • KNN(sklearn)

• Decision Tree-

  • Decision Tree(sklearn)

• Random Forest-

  • Random Forest(sklearn)

• Naive Bayes-

  • Naive Bayes(sklearn)

• Support Vector Machine(SVM)-

  • SVM(sklearn)

• Ensemble Learning

  • Voting classifier, Bagging, OOB evaluation(sklearn)

3. Clustering:

• Kmeans-
  • Kmeans(from scratch)
  • Kmeans(sklearn)
• Kmodes and Kprototypes-
  • Kmodes
  • Kprototypes

4. Association Rule Mining:

• Implementation of Apriori algorithm for association rule mining

Deep Learning:

• Keras

• TensorFlow