India is one of the countries with the highest air pollution country. Generally, air pollution is assessed by PM value or air quality index value. For my further analysis, I have selected PM-2.5 value to determine the air quality prediction and the India-Bangalore region. Also, the data was collected through web scraping with the help of Beautif…

Python package to simplify plotting of common evaluation metrics for regression models. Metrics included are pearson correlation coefficient (r), coefficient of determination (r-squared), mean squared error (mse), root mean squared error(rmse), root mean squared relative error (rmsre), mean absolute error (mae), mean absolute percentage error (m…

This repository has been created for air pollution forecast in the coming hours in Beijing.

Stock Price Prediction of APPLE Using Python

Improved the accuracy of Bitcoin stock price predictions on ARIMA model by reducing the seasonality factor. Achieved RMSE value of 68.99 after implementation of SARIMAX model to reduce seasonality.

Stock Market Prediction Algorithm Implementation for major giants of India

Rank 6/85 AnalyticsVidhya

Data Analysis and Prediction of New York Taxi Trip Duration Using Machine Learning Models

UV matrix decompostion using movielens dataset

Tutorials for BSE classes.

Predict solar generation data

regresspy for simple regressions

Predicting Delivery Time Using Sorting Time

Simple Linear Regression

Numerical Methods: "Life Expectancy & Linear Regression" Group Project - 2nd Semester 2021 - Computer Science, UBA

Forecasting Wine Sales of Two Different types of Wine. After thorough Data Analysis, different models have been used and tested such as Exponential Smoothing Models, Regression, Naive Forecast, Simple Average, Moving Average. Stationarity of the data is checked. Automated Version of ARIMA/SARIMA Model built. Comparison of Models.

Forecasting footsteps in Walmart from previous years available timeseries data and predict on new years data.

TCD ML Comp. 2019/20 - Income Prediction (Ind.)