This portfolio brings together all the major projects I carried out during my training at the National Advanced School Of Engineering of Yaoundé.
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Updated
May 10, 2024 - GAMS
This portfolio brings together all the major projects I carried out during my training at the National Advanced School Of Engineering of Yaoundé.
Walmart, a multinational retail corporation, faces challenges in managing its inventory effectively, leading to issues aligning product supply with varying consumer demand.
The purpose of this project is to develop a neural network algorithm to forecast the price of bitcoin over a 10 day period. This is achieved using an LSTM model.
A Regression project aiming to forecast the expenses of individuals within an insurance company where we could then decide whether to charge them a premium package or not.
APMLV ( i.e. Automated Prediction and Management of Logical Volumes ) is a project that leverages deep learning and automation to optimize the management of logical volumes resources
weatheril is an unofficial [IMS](https://ims.gov.il) (Israel Meteorological Service) python API wrapper.
Weather app that supports all cities
This repository has a sample that shows how to create a dotted forecasting line chart in .Net MAUI.
This project focuses on the prediction of the closing price of stocks based on the closing prices of the past 60 trading days usin deep learning and lstm neural networks
Developing a model that effectively forecasts the unit sales of numerous items across various Favorita stores with precision.
A Time Series Approach for Predicting Hourly Consumption Using XGBoost. This project explores patterns in energy consumption through feature-rich time series forecasting, providing accurate predictions and insights.
Power BI
This project implements a machine learning forecast model using XGBoost to predict headcount based on historical data. The model preprocesses the data, trains on the training set, and generates predictions for the test set.
Geo-location based weather site in REACT JS
vitruvius is a wep app manage construction works
Bu proje, California'da bulunan ev fiyatlarını tahmin etmek amacıyla geliştirilmiştir. Veri bilimi ve makine öğrenimi yöntemleri kullanılarak oluşturulan bu projenin detayları aşağıda yer almaktadır. 🚀
Sales forecasting for grocery stores using time series analysis and machine learning.
Weather forcast application using 7times api
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