Streaming data management and time series analysis using R

Exploratory data analysis with detailed visualizations in a top-down manner, exploring every attribute with respect to sales and revenue and performed a time-series predictive analysis model and plot using Auto Regressive Integrated Moving Average (ARIMA) modelling

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

We fit several prediction curves for COVID-19 spread

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

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

Forecasting Exercises done in R

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.

Weather Data analysis and forecasting

Dashboard of New House Index Pricing

Forecasting Fixed Rate Mortgage Average in The United States

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

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.

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

ML based models to predict TERON price

Data wrangling Hydrologic Information

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

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.

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