CS/DSA 5703: Machine Learning Practice (Asynchronous): Lecture Material

Note: dates assume a Tu/Th lecture schedule. In general, materials will become available at the beginning of each week.

• August 20: Class Introduction (module 1)

• August 22: Server Configuration (module 2)

• August 22-27: Python Overview (module 3)

• August 29 - Sept 5: Pandas and Numpy (module 4)

• Sept 10 - Sept 17: Classifiers (module 5)

• Sept 19 - Oct 1: Regression (modules 6 and 7)

• Oct 3 - 10: Cross-Validation (module 8)

• Oct 15: Logistic Regression II (module 9)

• Oct 17 - 22: Support Vector Machines (module 10)

• Oct 24 - 29: Decision Trees (moudle 11)

• Oct 31 - Nov 7: Ensemble Methods (module 12)

• Nov 12: Principal Component Analysis (module 13)

• Nov 14 - 21: Embedding Methods (module 14)

• Nov 26 - Dec 3: Clustering (module 15)

• Dec 5: Wrap-Up (module 17)

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Last modified: Sun Dec 1 22:15:32 2024