Lectures for Introduction to Data Science for Public Policy (PPOL 670-01)
UFC bout winner prediction using neural nets.
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.
Building a Logistic regression model for the prediction of Sales and implementing it in a web app based on Python 🐍
This repository is my portfolio for data science and covers my personal projects.
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.
An online study guide for the SOA's predictive analytics exam.
Tutorial to deploy a ML Model to Heroku with Flask web application.
"Wind Power Predictor" is a machine learning project that forecasts turbine output using real-time data from Turkish wind farms. Its web app interface offers convenient access to predictions, enabling informed decisions for maximizing energy production and advancing renewable energy usage.
This repository contains my academic marketing and customer data analytics related projects using R and SQL.
Collection of end-to-end regression problems (in-depth: linear regression, logistic regression, poisson regression) 📈
Analysis on hospital readmission data for diabetic patients using R and Tableau
데이터 과학 모형
predict the winning horse with supervised machine learning models (lucky to have 100% accuracy on small test data)
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.
The goal was to perform predictive maintenance on commercial turbofan engine. The approach used here is a data-driven approach, meaning that data collected from the operational jet engine is used to perform predictive maintenance modeling. To be specific, to build a predictive model to estimate the Remaining Useful Life ( RUL) of a jet engine ba…
A disease prediction website built with Django and machine learning algorithms. This website helps users make informed decisions by providing predictions based on historical data and machine learning models.
Can Risky Behaviors Predict Academic Achievement?
Course repo for EDLD 654 (Machine Learning for Educational Data Science) at UO COE - Fall 23
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…
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