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1)Artificial neural networks with Tensorflow and Keras 2)ClassifICATION OF images, data, and sentiments using deep learning 3)predictions using linear regression, polynomial regression, and multivariate regression 4)Data Visualization with MatPlotLib and Seaborn 5)Machine learning at massive scale with Apache Spark's MLLib 6)Classification of data using K-Means clustering, Support Vector Machines (SVM), KNN, Decision Trees, Naive Bayes, and PCA 7)Built a movie recommender system using item-based and user-based collaborative filtering 8)Designing and evaluation of A/B tests using T-Tests and P-Values