machine-learning-interview-questions Just a reminder. Data Preparation Data Preprocessing Data Normalization Feature Extraction Feature Selection Dimension Reduction Traditional ML approaches Linear Regression Logistic Regression KNN KMean SVM Decision Tree - Random Forest Naive Bayes PCA CNN RNN Data Imbalance Metrics Deployment Scaling Some common pitfalls Advanced