Time Series analysis on INR vs USD using Holt WInter, explonential smoothing and ARIMA

Learned time series analysis from Quantstart

Performing Temperature Prediction for 5 different cities in the USA using time series analysis on Python.

Easy to follow code for introduction to Forecasting using ARIMA.

Precious Metal Price ARIMA Prediction

NYC crime time analysis

ARIMA time serial model

Data Bomberas Nicole Eickhoff & Natalie Olivo

Time Series Data Analysis for Air Conditioner

Forecast monthly sales data in order to synchronize supply with demand, aid in decision making that will help build a competitive infrastructure and measure company performance.

Time Series Analysis & Forecasting on real TV viewership data

This project gives an overview of crime time analysis in New York City . We have created Python Jupyter notebooks for spatial analysis of different crime types in the city using Pandas, Numpy, Plotly and Leaflet packages. As a second part to this analysis, we worked on ARIMA model on R for predicting the crime counts across various localities in…

The increasing demand for energy is one of the biggest reasons behind the integration of solar energy into the electric grids or networks. To ensure the efficient use of energy PV systems it becomes important to forecast information reliably. The accurate prediction of solar power variation can enhance the quality of service. This integration of…

ARIMA Project to forecast seat and market share for multiple airlines.

MachineLearning_usecases and case study

Predict price reversion signals for mean reverting stocks on NSE

Contestants will attempt to exploit these patterns in order to predict the voting for the 2010 Eurovision Song Contest.

This is a Python implementation of ARIMA using the S&P 500, and the individual stocks that are contained within.