baariu
Data scientist with expertise in predictive modelling and timeseries analysis. Check my repository and leave some feedback.
Nairobi Kenya
Pinned Repositories
Covid-19-Vaccine-Sentiment-analysis
The project involved scraping data from twitter. The specific keywords used were around Covid-19 to scrape tweets about Covid-19 vaccines and measure the sentiments people had towards them.
CreditScoringModel
PrinciplesOfDataScience
Health Data for the Dominican Republic
Stock-prediction-2024
This is an ML project using data from yahoo finance to train our model. The model is then used to predict future stock prices. It also has a web application that users can interact with to get future stock prices, moving average of each stock as well as past data such as closing/ opening prices of each stock per day.
Youth-Employment-in-Kenya-s-IT-Sector-
the goal of this hackathon is to use data science techniques and any programming language of your choice(Preferably R/Python) to uncover insights and design solutions related to the job market in Kenya’s IT sector, specifically focusing on youth employment (15-35 years).
PastPaperHub
Find Past Papers (exams) and suggested answers shared by the community through Facebook comments, for studying.
baariu's Repositories
baariu/Covid-19-Vaccine-Sentiment-analysis
The project involved scraping data from twitter. The specific keywords used were around Covid-19 to scrape tweets about Covid-19 vaccines and measure the sentiments people had towards them.
baariu/CreditScoringModel
baariu/PrinciplesOfDataScience
Health Data for the Dominican Republic
baariu/Stock-prediction-2024
This is an ML project using data from yahoo finance to train our model. The model is then used to predict future stock prices. It also has a web application that users can interact with to get future stock prices, moving average of each stock as well as past data such as closing/ opening prices of each stock per day.
baariu/Youth-Employment-in-Kenya-s-IT-Sector-
the goal of this hackathon is to use data science techniques and any programming language of your choice(Preferably R/Python) to uncover insights and design solutions related to the job market in Kenya’s IT sector, specifically focusing on youth employment (15-35 years).