/Machine-Learning-Exercises

Solve ML Exercises including this topics: <br>1 - Linear Regression (Univarient and Multivarient) <br> 2 - one hot encoding <br> 3 - Logistic Regression (Binary and Multi classes) <br> 4 - Decision Tree <br> 5 - SVM <br> 6 - RandomForest <br> 7 - Kfold <br> 8 - Kmeans <br> 9 - Naive bayse

Primary LanguageJupyter Notebook

Machine-Learning-Exercises

Solve ML Exercises including this topics:

  • Linear Regression (Univarient and Multivarient)
  • one hot encoding
  • Logistic Regression (Binary and Multi classes)
  • Decision Tree
  • SVM
  • RandomForest
  • Kfold
  • Kmeans
  • Naive bayse
  • GridSearchCV hyper parameter tuning
  • Lasso Regression (Reguilrization)
  • KNN K-Nearest Neighbour Classifier
  • Feature Engineering