Example and analysis of basic machine learning. 1. Logistic Regression and SVM, 2. PCA and LDA, 3. Model Evaluation and Hyperparameter Tuning, 4. Sentiment Analysis, 5. Clustering: K-means, hierarchical clustering, DBSCAN, agglomerative clustering, 6. Feedforward Neural Networks, 7. Deep Neural Network using TensorFlow