A Time Series Analysis of the healthyverse R pacakges

Kaduna state Agricultural forecast

Cyril Voyant Contribution For Solar Energy, Renewable Energy, and Time Series Modelling and Forecasting

ForecastFlow is an intelligent sales forecasting solution that leverages machine learning algorithms to accurately predict future sales trends based on historical data. Designed for e-commerce and retail businesses, the system empowers decision-makers with actionable insights to optimize inventory, marketing, and financial planning.

Forecast of energy demand in France with periodic re-training.

Data wrangling Hydrologic Information

ML based models to predict TERON price

Forecasting New Jersey home prices using R time series models. Includes Holt-Winters, SES, and trend decomposition to predict housing market trends.

Time series forecasting of Python-related questions on Stack Overflow using ARIMA and Holt-Winters models. Insights support trend analysis and future tech curriculum planning.

Django Code and documentation for the Retail Pharmacy Inventory Management System (best final year project award)

Forecasting Fixed Rate Mortgage Average in The United States

Dashboard of New House Index Pricing

Weather Data analysis and forecasting

This project involves forecasting the price direction of public US companies' market index (VTI) using the Fama-French Five-Factor Model. The dataset includes VTI's daily returns and various factors. The project involves data preprocessing, exploratory data analysis, and building forecasting models.

Forecasting Exercises done in R

Forecasting Oil Prices with Time Series & Generalized Additive Models for Location, Scale and Shape

Notes 📝 and solutions ✅ of the Blogmeter course challenges 🧑🏽‍💻

We fit several prediction curves for COVID-19 spread

This repository contains several exercises in Python and R, mainly in the area of finance, financial modeling, and statistics.