Basic Information
This Course Introduces Students to Machine Learning Techniques In Python. Our Focus Will Be On Classification Algorithms (svm, Logistic Regression), Regression Algorithms (linear Regression, Lasso), And Ensemble Methods (random Forest), in Addition to Model Evaluation Techniques. Moreover, We Will Explore The Software Tools That Consitute The Python Data Science Ecosystem. Learning Outcomes# at The End of The Course The Student Will Know To Write Basic Code in Python. Use Standart Data Science Packages In Python, E.g. Pandas, Numpy and Scikit-learn. Conduct Exploratory Data Analysis. Employ Predictive Algorithms For Regression And Classification. Understand and Analyze The Challenges in Model Evaluation.
Faculty: Data and Decision Sciences
|Graduate Studies
Pre-required courses
98740 - Statistics For Managers