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