Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.

Predict coffee prices in Kenya

Predicting disease spread, a DrivenData competition. I'am currently participating in this competition. I used it as submission for the second capstone project in the course 'Professional Certificate in Data Science' provided by Harvard University (HarvardX) on EDX.

Hybrid anomaly-based intrusion detection system

Rossmann operates over 3,000 drug stores in 7 European countries. Currently, Rossmann store managers are tasked with predicting their daily sales for up to six weeks in advance. Store sales are influenced by many factors, including promotions, competition, school and state holidays, seasonality, and locality. With thousands of individual manager…

Predicting Dengue Fever outbreaks in San Juan and Iquitos

Web scrapped the stocks fundamentals for 502 stocks and carried out data analysis using SQL and POWER BI. Built a very useful visualization for Value Investing. Selected 5 stocks and predicted their price.

Contains notebooks of Time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA, Prophet model and LSTM model with forecast evaluation.

COVID-19 forecasting dashboard using data from John Hopkins University, PHE and www.gov.uk. An NHS Bed forecasting model for England is also added to the UK table and plotted. There is also a notebook for forecasting the Italy COVID-19 cases which implements a logistic model, and exponential model, and tries the fb prophet model. Important note:…

To forecast the number of cases/applications a company will receive in next 3 months for 2 different segments

Basic Idea - Predict the price of avocado sold in the US using a historical dataset using Facebook Prophet and visualizations.

Bootcamp-Python Study

We compared data of temperature, sea level, CO2 emissions and population from 1993-2015. We used our machine learning forecast to answer "When will the temperature rise to a dangerous level of 16.37 𝇈C /61.47𝇈F?" Our research and analysis showed that there is a positive trend in the rise of population, CO2 emissions, temperature and global mean …

Discussed various methodologies that may help while implementing Time Series

Used prophet to forecast enrollments for courses published on Coursera for Michigan

This repository is B.Tech. major project on COVID-19 Global and India Forecast

Using Facebook Prophet the analysis of product price trends

Kaggle competition on Walmart data