Scholar Chepkirui's repositories
King-County-housing-price-predictions
This project uses regression modeling to analyze house sales in King County. The final model can predict the price of a house based on various features, hence it will be used by a real estate agency to establish a realistic asking price.
Syriatel-customer-churn
Churn prediction has become a very important part of Syriatel's company strategy. This project uses machine learning algorithms to build a model that can accurately predicts customers who are likely to churn.
Analysis-for-a-Microsoft-New-Movie-Studio
This project uses exploratory data analysis to generate insights for Microsoft, which wants to create a new movie studio. Based on the IMDB and Box Office Mojo datasets, recommendations are made on the types of films that Microsoft needs to explore.
sentiment-analysis-of-airline-tweets
Using machine learning techniques, airlines can accurately predict the sentiment of their passengers based on their tweets. This means that they can quickly identify and address any issues before they escalate, reducing the likelihood of negative customer experiences and increasing customer loyalty.
Longer-term-weather-forecasting
This project focuses on a prediction task involving forecasting sub-seasonal temperatures within the United States. This is part of the Women in Data Science, WIDS, Datathon competition 2023.
Music-and-Mental-Health-Analysis
Using data from a survey conducted from August to November 2022, this project aims to generate insights about the correlation between music genres and the different states of mental health of participants.
Skin-Disease-Image-Classifier-for-Accurate-and-Accessible-Diagnosis
This project aimed to develop a skin disease image classifier that can identify skin diseases in images uploaded by users. The classifier was integrated into a website where users can upload photos of their skin diseases and receive an accurate diagnosis