The objective of this course is to learn Machine Learning concepts and be handy with coding of machine learning. Here I have the solutions and codes of "Machine Learning A to Z" course of Udemy.
- Regression
- Simple Linear Regression
- Multilinear Regression
- Polynomial Regression
- Supported Vector Regression (SVR)
- Decision Tree Regression
- Random Forest Regression
- Logistic Regression
- Classification
- K-Nearest Neighbours
- Supported Vector Machine (SVM)
- Kernel SVM
- Naive Bayes
- Decision Tree Classifier
- Random Forest Classifier
- K-Means Clustering
- Hierarchical Clustering
- Deep Learning
- NLP
- ANN
- CNN