Here is the list to learn machine learning from basic to advanced;
- Data Preprocessing Tools
- Simple Linear Regression
- Multiple Linear Regression
- Polynomial Regression
- Support Vector Regression
- Decision Tree Regression
- Random Forest Regression
- R Squared and Adjusted R Squared
- All Regression Together
- Logistic Regression
- K Nearnest Neighbour Algorithm (KNN)
- Support Vector Machine (SVM)
- Kernel Support Vector Machine
- Naive Bayes
- Decision Tree Classification
- Random Forest Classification
- All Classification Together
- K-Mean Clustering
- Hierarchical Clustering
- Apriori
- Eclat Algorithm
- Upper Confidence Bound (UCB)
- Thompson Sampling
- Natural Language Processing (NLP)
- Artificial Neural Network (ANN)
- Convolutional Neural Networks (CNN)
- Principal Component Analysis (PCA)
- Linear Discriminant Analysis (LDA)
- Kernel PCA
- K-Fold Cross Validation
- Grid Search
- XGBoost