Embedded Files
House Price Prediction
Project Summary: Predicting House Prices Using Machine Learning
In this project, I developed a machine learning model to predict house prices based on various features such as median income, proximity to the ocean, and population density. Using the California Housing Dataset, I explored key factors that influence house prices and tested multiple algorithms, including Linear Regression, Decision Trees, Random Forest, and Gradient Boosting.
After rigorous evaluation and hyperparameter tuning, the Random Forest Regressor emerged as the best-performing model, achieving an R² score of 0.8152 and a Root Mean Squared Error (RMSE) of 50,620.10. The model demonstrated that median income, location, and population density are critical determinants of house prices.
This project highlights my ability to handle real-world data, apply advanced machine learning techniques, and derive actionable insights, making it a valuable addition to my portfolio.
Data Analysis with R
Data Analysis with R
Welcome to the Cyclistic bike-share analysis case study! In this case study, I used Cyclistic Bike company's data to evaluate riders' use of bikes, determined trends and theorized how casual riders can join annual memberships. I was then able to develop an action plan based on those findings. VIEW PROJECT
Data Visualization in Tableau
Data Visualization in Tableau
Welcome to the wonderful world of data visualization using Tableau! In this case study, I used the 'World Happiness' dataset to see how the happiness score has changed from 2015 to 2017. Click view projects to check out more visualizations on world happiness, global CO2 emission, and some of the projects I worked on.
Data Exploration in SQL
Data Exploration in SQL
In this project, I explored a set of 17 questions, and I will take you through solving them. I used the DVD Rental Dataset in SQL server to run 17 queries. I demonstrated, self join, natural join, left and right outer joins, subqueries, union, membership operators (in, not in), group by, order by, aggregate functions, and more. VIEW PROJECT
Data Visualization with Excel Dashboard and Reports.
Data Visualization with Excel Dashboard and Reports.
In this case study, I used bike sales datasets to build a dashboard, and also used pivot tables and charts to answer key questions. Click view projects to check out my visualizations and reports.
Programming with Python
Programming with Python
First assessment as a Data Science student at Altschool Africa. Click here to see one of my Python assessments.
Page updated
Google Sites
Report abuse