IAC-23-IMLP.xlsx
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Course Name: Introduction to Machine Learning with Python
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DayDay and DateTimeDurationContentInstructors
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StartFinish
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1Sunday, April 7, 20195:30 PM8:30 PM3
Introduction to ML, Python Basics (Environment setup, Variables, Loop, Array)
CMRH
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2Wednesday, April 10, 20195:30 PM8:30 PM3Decision Tree, Assignment 1 on Decision TreeCMRH
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3Wednesday, April 17, 20195:30 PM8:30 PM3Python Basics (Function, Recursion, String, File)CMRH
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4Wednesday, April 24, 20195:30 PM8:30 PM3Linear RegressionCMRH
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5Sunday, April 28, 20195:30 PM8:30 PM3Logistic RegressionCMRH
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6Sunday, May 5, 20195:30 PM8:30 PM3Python Basics (List, Dictionary, Numpy)CMRH
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75:30 PM8:30 PM3Naïve Bayes, KNN, Text modeling
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85:30 PM8:30 PM3Python Advanced (Pandas, Matplotlib), Introduction to scikit-learn
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95:30 PM8:30 PM3
Evaluation of Machine Learning Models
(Cross-validation, overfitting, learning curve, over sampling/under sampling, etc.)
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105:30 PM8:30 PM3Assignment 1 Evaluation
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115:30 PM8:30 PM3SVM, Ensemble Learning, Bagging, Boosting
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125:30 PM8:30 PM3
Assignment 2 (on KNN, Naïve Bayes, SVM, Regression), XGBoost
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135:30 PM8:30 PM3Unsupervised Learning
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145:30 PM8:30 PM3Python Advanced (SciPy, Seaborn), Intro to WEKA
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155:30 PM8:30 PM3Introduction to ANN
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165:30 PM8:30 PM3Assignment 2 Evaluation
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175:30 PM8:30 PM3
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185:30 PM8:30 PM3Final Exam
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