Repository to track Data Analysis done on various datasets available online

The project was done in the last semester which included the use of Time Series Forecating and regression models to predict the CO2 and Renewable Energy Consumption by countries in any given year.

This repository contains some data science projects I have done for practical purposes.

Analyzing and predicting the stock prices,multiple machine learning models, including LSTM (Long Short-Term Memory), Prophet, and others

This project dives deep into customer sales data to uncover valuable insights for business decision-making. It leverages machine learning and time-series forecasting to predict customer churn, forecast product demand, and segment customers based on their purchasing behavior.

Time Series Analysis and Forecasting in Python

Forecast Algorithm Comparison in Python

forecasts store sales using the prophet algorithm

Evapotranspiration forecasting using FBProphet and NeuralProphet.

Using prophet forecasting to predict individual household power consumption

Example of Prophet (Meta/Facebook) library usage. Utilizing the powerful Prophet library, this project offers robust time series forecasting capabilities. With comprehensive documentation and a streamlined setup process tailored for Linux systems, users can seamlessly automate predictions using cron jobs, enhancing efficiency in forecasting tasks.

Comparison of xgboost and prophet methods from facebook for time series analysis.

BTC Price Prediction using Facebook Prophet

Stock opening price prediction

JP morgan virtual internship Quantitative Research

Intro to Artificial Intelligence Free Course from @lewagon

A stock market predictor which utilizes Facebook's Prophet Library and Yahoo Finance APIs, to forecast stocks based on time series data

Times Series Analysis of Daily Climate dataset using traditional methods

LTE Network traffic prediction and Congestion

This is a small example of using Facebook's open-source algorithm for generating time-series models, with a dataset from yahoo finance.