Helpful jupyter noteboks that I compiled while learning Machine Learning from various sources on the Internet. it's all you need to get started with machine learning
main concept covered in this repo are :
- linear regression
- gradient descent and cost function
- dummy variables and one hot 🔥 encoding _house price prediction
- split train test
- logistic regression (binary classification)_employee retention prediction
- logistic regression (multiclass classification)_hand written digit
- decision Tree
- SVM _iris classification
- Random Forest _hand written digit
- K fold Cross validation _hand written digit
- K means clustering
- Naive Bayes _titanic survival
- Naive Bayes _email spam classifier
- hyper parameter Tuning _iris classification