Deciding to refine her data analytical skills after trying game journalism, Mrinali enrolled in the March 2023 cohort of…
MIT’s Applied Data Science Bootcamp
Project 1: Data Analysis and Visualization
Mrinali began the program by performing an EDA on a fictional FoodHub dataset, opting to do the full-code version of the project and code the entire notebook herself in a Jupyter notebook.
Deep Learning Elective Project
At the midpoint of the bootcamp, Mrinali built a neural network architecture that was trained on the SVNH Digit Recognition image library to recognize handwritten numbers.
Capstone Project - Facial Emotion Recognition
Using deep learning and neural networks, Mrinali constructed and trained a neural network to classify images of facial expressions into four categories: happy, sad, neutral, and surprised.