Project in R to get spot price history data from aws and predict the spot pricing for the current day.

Wiki Traffic Forecast- Exploratory Data Analysis

This is a project where the given data set is modeled using statistical methods and giving up a best model using results .

Time series analysis project forecasting DJIA returns

This contains various projects under data science domain .

This is the repository for CKME136 Ryerson Big Data Certificate

Using Time-Series Forecasting and Linear Regression Modeling to predict future movements of the Japanese yen versus the U.S. dollar.

25 Data Analysis Projects with Python

Explored walking, running, climbing down, climbing up data of 15 subjects to extract time series features. Developed Scatter Plots for all activities applying natural visibility graph (NVG) and horizontal visibility graph (HVG) methods

The primary objective of this study is to develop a dependable and precise prediction model to forecast alterations in Bitcoin's hash rate.

An app to track performance of registered active links and send weekly performance report to registered user.

This script processes multi-dimensional raster data (i.e., NetCDF, HDF) with xarray and rasterio.

This is a time series project that seeks to predict sales of the Favourita company.

Qualify-As-You-Go Sensor Fusion, Process Zone Signatures and Deep Contrastive Learning for Multi-Material Composition Monitoring in LPBF Process

Predict wait times using various machine learning methods

R Tutorials for the Data Analysis and Statistical Methods (DASM) WMEE14000 course at the University of Groningen

Analysis & Tools for the 2011-2016 OpenDota Dump (~1.2 billion matches)

Some basic tools for quantitative analysis of financial time series. The entropy module can be found here: https://github.com/nikdon/pyEntropy/blob/master/pyentrp/entropy.py

Python package for receiving and restructuring OSM historic object data conveniently

In this project, I made an interactive dashboard for covid19 data analysis and also forecasted new cases for India using time series forecasting models like SARIMA and parametric curve fitting