Jupyter Notebooks Collection for Learning Time Series Models

Notebooks for the course "Time series analysis with Python"

Comparison of methods for predicting electricity consumption of a large non-residential building.

Repo para praticar modelos de time series em jupiter notebook

Notebooks on different kinds of Time Series analysis using Python

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

Forecasting future sales of a product offers many advantages. Predicting future sales of a product helps a company manage the cost of manufacturing and marketing the product. In this notebook, I will try to you through the task of future sales prediction with machine learning using Python.

Experimental notebooks on blink detection problem by analizing it with simple thresholds, timeseries approach and a ml model.

A repo containing a few exploratory notebooks for statistical (ARIMA) and supervised ML (random forest, KNN) approaches to time series analysis of monthly retail sales (sourced from St. Louis Fed). Notebooks also explore the use of MLFlow for experiment tracking, model registration, and deployment/inference.

Gold-Price-forecasting In a personal endevaour to learn about time series analysis and forecasting, I decided to reserach and explore various quantitative forecasting methods.This notebook documents contains the methods that can be applied to forecast gold price and model deployment using streamlit, along with a detailed explaination of the diff…

Repository for the Capstone Project of the MBD-PT January 2022. This repository contains several notebooks performing detailed analysis of the data, identification of Market Drivers, segmentation of stores, predictions of future sales and design of appropriate promotional strategies to extract the most value upon Beer sales in Spain