Data Science and Analytics, Machine Learning, Deep Learning and Computer Vision so on!

Notebooks in Machine Learning. Including exponential, polynomial, logistic and softmax regression. Time series analysis. Neural Networks.

One of the main focus of the study in this project is to use machine learning techniques to analyze and visualize the spreading of the virus country-wise as well as globally during a specific period of time by considering confirmed cases, recovered cases and fatalities

2022년 1학기 금융시장빅데이터분석 강의자료 및 jupyter notebook 실습 파일

Python Data Visualitation and Time Series for Sales Project Notebook

Notebooks on different kinds of Time Series analysis using Python

This repository contains Jupyter Notebooks with notes on various topics related to time series analysis.

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.

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.

In this notebook, I've loaded historical Dollar-Yen exchange rate futures data. I've applied time series analysis and modeling to determine whether there is any predictable behavior.

This R notebook uses descriptive time series analysis to investigate whether the interest in two search terms (i.e. pumpkin and costume) are correlated, spuriously correlated or depend on an external factor.

ML code in Python

Google Search Analyzer is a Jupyter Notebook based application which uses the Time Series Analysis technique to analyze the underlying data over the discrete time intervals and do forecasting for future revenue.

The purpose of this project is to analyze athletic sales data from 2020 and 2021 using Python within Jupyter Notebook. By combining, cleaning, and visualizing the data, we aim to uncover insights into regional sales patterns, retailer performance, and product trends. This analysis can be applied to retail businesses seeking to optimize sales.

Time series prediction Notebooks

Jupyter notebooks and learning notes of weather derivatives

Jupyter Notebooks for time series analysis using STUMPY (matrix profile)

Colección de notebooks tutoriales para bajar series de tiempo financieras y analizarlas sus correlaciones.

This is a repo for understanding Time series analysis using python on Juypter Notebook

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