Machine-Learning

Exploring Machine Learning: Projects, code, and learnings from my journey into supervised, unsupervised, and deep learning techniques.

Name		Name	Last commit message	Last commit date
Latest commit History 13 Commits
1. Linear Regression Single Variable		1. Linear Regression Single Variable
10. Support Vector Machine (SVM)		10. Support Vector Machine (SVM)
11. Random Forest		11. Random Forest
12. K Means		12. K Means
2. Linear Regression Multiple Variable		2. Linear Regression Multiple Variable
3. Gradient Decent and Cost Function		3. Gradient Decent and Cost Function
4. Save Model Using Joblib and Pickle		4. Save Model Using Joblib and Pickle
5. Dummy Variable and One Hot Encoding		5. Dummy Variable and One Hot Encoding
6. Training and Testing Data		6. Training and Testing Data
7. Logistic Regression(Binary Classification)		7. Logistic Regression(Binary Classification)
8. Logistic Regression(Multiclass Classification)		8. Logistic Regression(Multiclass Classification)
9. Decision Tree		9. Decision Tree
README.md		README.md

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