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1. Libraries: NumPy, Pandas, Seaborn, Matplotlib, Scikit-Learn, Statsmodels. 2. Machine Learning: Supervised Learning, Unsupervised Learning. 3. Algorithms: Linear Regression, Logistic Regression, Hierarchical Clustering, K-Means Clustering, DBSCAN, Ensemble Techniques, Random Forest. 4. Tools: MS Excel, Python, MySQL,Javascript,MongoDB.