Demos of various data science projects I completed - August 2023 to present.

Contains Projects:

Module 2 (No show Linear Prediction)

Module 3 (Covariance and Correlation)

Module 4 (Visualizing correlation with Pyplot and Seaborn)

Module 6 (Using Linear regression to predict the likelihood of a patient developing diabetes)

Module 7 (Using Logistic regression to predict creditworthiness)

Module 8 (Using collaborative filtering to improve out-of-sample R^2)

Module 14 (CART Regression - Improving model's predictive performance with pruning)

Module 15 (Applying XGBoost to the diabetes prediction problem)

Module 18 (Binary classification of ECG data using Keras with Binary & Relu activation)

Module 19 (Using a convolutional neural network to create a basic image classifier)

Module 20 (Sentiment Analysis using deep learning on IMBD reviews)

Module 21 (Natural Language Processing / Deep Learning using an encoder model on airline review data)

Sector Indices Stock Analysis(Data Visualization Project) Visualizing correlation with Stock Sector Indices.

Updated Sector Indices Analysis - Analyzing daily returns

Helpful Functions for Portfolio Risk Management