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Assignments and Case Study Practices completed at MIT data science and machine learning certificate program

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Data-Analysis-Projects-using-Python

😊 Hi, I'm Hedi. Hope you're well!

These files are demonstrations of what I have learned from the Data Science and Machine Learning: Making Data-Driven Decisions Certificate Program by the Massachusetts Institute of Technology, Schwarzman College of Computing, IDSS in collaboration with Great Learning.🏅

Please Note: All my personal work in collaboration with Great Learning is permitted by the program advisor to be displayed ONLY on my own GitHub account. The purpose of it is to display my personal work to recruiters. The unauthorized use or distribution of any file in this repository is strictly prohibited.

✍️ Assignments

💡 The Problem Statements contain descriptions, questions and evaluations for each project.

Course: Foundations of Data Science

To analyze different aspects of Diabetes in the Pima Indians tribe.

Skills and Tools: Descriptive Statistics, Data Visualization, EDA

Problem Statement 1

Course: Recommendation Systems

The objective of this project is to build a recommendation system to recommend movies to users based on the ratings given to different movies by the users.

Skills and Tools: Collaborative filtering, Matrix factorization, Recommendation systems

Problem Statement 2

Course: Predictive Analytics

The objective of this Project is to build a predictive model, which will help in predicting the duration of a taxi trip in NYC. We have to create new features using feature engineering and build a model with good performance.

Skills and Tools: Predictive modelling, Feature Engineering, Regression

Problem Statement 3

📚 Case Studies