Perform predictive analysis on Housing Data & Breast Cancer Datasets Using Supervised Learning Techniques of Data Science in Python
Predictive, comparative and variance analysis of housing and breast cancer data (data source- University of California Irvin) by applying supervised learning techniques namely univariate and multivariate linear regression, logistic regression, and random forest
Python 3, Jupyter IPython Notebook, Anaconda, Pandas, NumPy, ScikitLearn, matplotlib
- Submitted for credit towards SER 516: Software Enterprise: Process and Project management (Data Science) at Arizona State University [Spring 2017]
- Instructor: Dr. Arbi Gazarian, Arizona State University