Assignment-1 Linear and Logistic Regression, ML in Practice, Empirical Risk Minimization
Instructions • Your submission should be a single zip file 2020xxx_HW1.zip (Where 2020xxx is your roll number). Include all the files (code and report with theory questions) arranged with proper names. A single .pdf report explaining your codes with results, relevant graphs, visualization and solution to theory questions should be there. The structure of submission should follow: 2020xxx_HW |− code_rollno.py/.ipynb |− report_rollno.pdf |− (All other files for submission) • Anything not in the report will not be graded. • Your code should be neat and well-commented. • You have to do either Section B or C. • Section A is mandatory. x y 3 15 6 30 10 55 15 85 18 100 Table 1: Table of x and y values equation obtained, predict the value of y when x=12. 2. (15 points) Section B (Scratch Implementation) Dataset: Heart Disease OR 3. (15 points) Section C (Algorithm implementation using packages) Split the given dataset into 80:20 (train: test) and perform the following tasks: Dataset: Electricity Bill Dataset
