(Weeks 5–6 | Lec 6 Hrs / Lab 18 Hrs / Ext 0 Hrs | 24 Total Hrs | 1.0 Credit Hrs)
Students will:
Prepare data for predictive modeling
Prerequisite: DSEng 102 – SQL, Databases & APIs
Tools: NumPy, SciPy, StatsModels
Apply descriptive and inferential statistics to datasets
Conduct hypothesis testing and regression analysis
Perform exploratory data analysis (EDA) to identify patterns
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