This repository contains several exercises in Python and R, mainly in the area of finance, financial modeling, and statistics.
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Updated
May 26, 2021 - HTML
This repository contains several exercises in Python and R, mainly in the area of finance, financial modeling, and statistics.
A Time Series Analysis of the healthyverse R pacakges
Forecasting Exercises done in R
Forecast of energy demand in France with periodic re-training.
Notes 📝 and solutions ✅ of the Blogmeter course challenges 🧑🏽💻
We fit several prediction curves for COVID-19 spread
Streaming data management and time series analysis using R
Data wrangling Hydrologic Information
Forecasting Fixed Rate Mortgage Average in The United States
Cyril Voyant Contribution For Solar Energy, Renewable Energy, and Time Series Modelling and Forecasting
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
Kaduna state Agricultural forecast
Django Code and documentation for the Retail Pharmacy Inventory Management System (best final year project award)
Dashboard of New House Index Pricing
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 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
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.
Weather Data analysis and forecasting
Forecasting Oil Prices with Time Series & Generalized Additive Models for Location, Scale and Shape
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