georgemuriithi/georgemuriithi

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georgemuriithi/driver-drowsiness-monitor

An Android mobile app to monitor driver drowsiness.

Language: Java - Size: 547 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

georgemuriithi/kaggle-competitions

House Prices Prediction and Credit Default Risk Prediction competitions. Advanced decision tree-based regression and classification models are used.

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georgemuriithi/tomato-disease-detection

This is an end-to-end project in the agricultural domain. A Convolutional Neural Network (CNN) model is trained to detect whether a tomato plant has a particular disease by using a picture of its leaf. The model can be accessed from a mobile application or a web page.

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georgemuriithi/tesla-stock-price-pred

Tesla’s stock price is predicted over some months using an LSTM model. Tweets about Tesla are used to improve prediction accuracy.

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georgemuriithi/investment-portfolio-optim

An investment portfolio of stocks is created using Long Short-Term Memory (LSTM) stock price prediction and optimized weights. The performance of this portfolio is better compared to an equally weighted portfolio and a market capitalization-weighted portfolio.

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georgemuriithi/MBTI-Hachathon

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georgemuriithi/shale-gas-wells

The Korea National Oil Corporation was interested in purchasing shale gas wells from the United States and wanted to predict their production to select wells that maximize profit.

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georgemuriithi/geo-data-vis

Interactive visualization of geographical data through choropleth maps, geographical maps and real maps.

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georgemuriithi/optim-using-gurobi

Hospital selection in a population and the TSP with MTZ formulation are solved using Gurobi.

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georgemuriithi/bank-loan-customers

Clustering bank loan customers using KMeans clustering and predicting their loan statuses using XGBClassifier. The prediction model is explained with SHAP values.

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georgemuriithi/market-phases-detection

Detecting stock market phases using a Gaussian mixture model.

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