Intuitive and helpful models for statistical analysis and shortterm forecasting of windturbine oscillation 📈 📉.

Google Search Analyzer is a Jupyter Notebook based application which uses the Time Series Analysis technique to analyze the underlying data over the discrete time intervals and do forecasting for future revenue.

Time series project on Chicago Crime rate, Avocado Price and Inida Stock market price prediction using facebook prophet library

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

Simple stock price analytics

Use Facebook Prophet model to forecast Sales including seasonality patterns

Predict the stock price of a company using time series forecasting

The project seeks to perform forecasting of Nigeria's temperature change using machine learning.

In this repository, I will apply various time series forecasting models like SARIMA, Prophet and compare their performances.

Using Facebook Prophet Model to predict amazon stock prices. Datasets used is downloaded from yahoo finance contain price form start to end

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.

Time Series & Forecasting for Australia Tourism

Demand forecasting using ARIMA Model and fb_prophet.

A Financial Analysis to aid in a company growth strategy, applying forecasting models and proving metrics. Analysis includes a model using Prophet to determine the ability to accurately predict if search traffic can influence positive trading of particular stocks.

Establishing a basis for predicting the cost of chicken in the near future with two different ML models

In this repository you can find some basic concepts about Python programming and data analysis prepared for education.

Rice crop prediction using real time data recorded from 1961 to 2021. Time series models trained on ARIMA, SARIMA, LSTM, FbProphet algorithms. Achieved an r2_score above 90% for SARIMA, Fbprohpet models.

Forecast Algorithm Comparison in Python

Study and research on the hourly Time Series of electricity price from Italy. My interest would be to obtain both short and long term forecasts. I employ two univariate methods: sARIMA modelling and Prophet

This repository provides a novel approach about how can we use the ARIMA time series model and a suite of models provided by Prophet library (open-sourced by Facebook) to forecast financial time series data i.e. S&P BSE SENSEX and S&P-500.