Affaan's Data Science Projects Completed as part of MIT Professional Education's Bootcamp. Upgraded data analytics skills by learning supervised and unsupervised learning, time-series analysis, recommendation systems, regression, and more. Certificate of Completion from MIT Professional Education.
- Techniques: OLS regression, bootstrapping, Cross-Validation, Linear Ridge Regression, Lasso Regression, Neural Networks, Decision Trees, Random Forest, Time Series, Prophet, Exponential Smoothing.
- Description: Predicted the price of used cars using various machine learning and statistical techniques.
- Jupyter Notebook
- Presentation PDF
- Description: Analyzed and predicted the house prices in Boston using regression models.
- Jupyter Notebook
- Description: Studied the effects of advertising on sales using statistical analysis.
- Description: Conducted a comprehensive analysis of diabetes among Pima Indian populations using machine learning techniques.
- Jupyter Notebook
- Description: Developed algorithms to calculate the area of various geometric shapes.
Completed The Bootcamp
The Applied Data Science Program is developed for professionals who want to understand how to make data-driven business decisions. This 12-week program enables learners to upgrade their data analytics skills, learning the theory and practical application of supervised and unsupervised learning, time-series analysis, recommendation systems, regression, and more. Upon successful fulfillment of requirements, learners receive a Certificate of Completion from MIT Professional Education. The program is delivered in collaboration with Great Learning, leveraging MIT's leadership in innovation, science, engineering, and technical disciplines. The aim is to build industry-valued skills and prepare learners to participate in or lead data science efforts at any organization.