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