You work for an AI image company and one of the departments focuses on research into the accurate and timely diagnosis of heart disease, fertility and breast cancer among residents living in Compassvale City. Their research also looks into the risk factors prevalent in this community as whole. Through a state-funded programme, they collect a huge among of anonymous and de-identified data on its residents. However, they face the challenge of making sense of this data. As an upcoming expert in Machine Learning, your assignment is to help the department to make sense of the data and deliver the following solutions

Parts

1. Programming Part 1: Read the file containing the big heart dataset and display the output of these files

2. Programming Part 2: Write a programme that specifies the line of best fit for the fertility rate for workers.

3. Programming Part 3: Write a programme that can classify based on radius SE and texture SE of a breast mass and determine whether the diagnosis is mailgnant or benign.

4. Programming Part 4: Write a programme that potentially improves the linear regression using regularisation.

5. Programming Part 5: Write a programme that can classify two different types of data points with very high accuracy.

Files