Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)
UFC bout winner prediction using neural nets.
Tutorial to deploy a ML Model to Heroku with Flask web application.
데이터 과학 모형
An online study guide for the SOA's predictive analytics exam.
Analysis on hospital readmission data for diabetic patients using R and Tableau
predict the winning horse with supervised machine learning models (lucky to have 100% accuracy on small test data)
This repository contains my academic marketing and customer data analytics related projects using R and SQL.
Sales Conversion Optimization MLOps: Boost revenue with AI-powered insights. Features H2O AutoML, ZenML pipelines, Neptune.ai tracking, data validation, drift analysis, CI/CD, Streamlit app, Docker, and GitHub Actions. Includes e-mail alerts, Discord/Slack integration, and SHAP interpretability. Streamline ML workflow and enhance sales performance.
SO2 Emission Prediction from Diesel Engines with Quantum Technology (5G). A worldwide study has been conducted on the emission values of SO2 gases released from diesel engines in the world.
This repository is my portfolio for data science and covers my personal projects.
Projects that I have done on Data Science
Can Risky Behaviors Predict Academic Achievement?
Course repo for EDLD 654 (Machine Learning for Educational Data Science) at UO COE - Fall 23
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
The NIFTY 50 is a benchmark Indian stock market index that represents the weighted average of 50 of the largest Indian companies listed on the National Stock Exchange. We use real-time dataset to calculate the stock predictions for future years.
Reviews can make or break a product; as a result, many companies take drastic measures to ensure that their product receives good reviews. When it comes to board games, reviews and word-of-mouth are everything. In this project, we will be using a linear regression model to predict the average review a board game will receive based on characteris…
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
The projects displayed are part of my course in Great Learning - Business Analytics and Business Intelligence
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