This repository contains the Jupyter notebooks explaining Exploratory data analysis & Prediction of COVID-19.

A repository with notebooks to help understand time series forecasting, with projects to practise.

FinTech Module 11, MercadoLibre e-commerce analysis utilizing Jupyter Notebook and FaceBook 'prophet' analysis for growth opportunities

I will create a Jupyter notebook encompassing the data preparation, analysis, and visualizations required to provide the company with a comprehensive understanding of all relevant time series data.

Collection of my data science notebooks.

Time series analysis and model building to make a recommendation for the top five zip codes to invest in

This repository contains a Jupyter notebook that demonstrates time series analysis and forecasting using ARIMA, auto-ARIMA, and Prophet. Time series analysis is a powerful tool for understanding and predicting future trends, and these techniques are widely used in a variety of fields such as finance, economics, and marketing. The notebook is based

This repository contains the notebooks used in my project "Air quality analysis and forecasting"

Prophet is a procedure for forecasting time series data based on an additive model where non-linear trends are fit with yearly, weekly, and daily seasonality, plus holiday effects. It works best with time series that have strong seasonal effects and several seasons of historical data. Prophet is robust to missing data and shifts in the trend, an…

Python notebooks for demonstrating various ideas, APIs, libraries.

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.