Multiple Stock Prices By Industry

Description 📑

This dataset provides comprehensive from 2014 to September 2024 for a variety of industries, such as Food, Technology, Pharmaceutical and Finance, allowing for in-depth time series analysis of market trends, forecasting, research, investment analysis, and SOTA machine learning model.

What's inside? 🤔

The main dataset stock_prices.csv is a multi-level index columns dataframe which allows easy to access by industry name as follow,

• Technology: Microsoft "MSFT", Google "GOOGL", Meta "META", Nvidia "NVDA"
• Finance: JPMorgan Chase & Co. "JPM", Bank of America "BAC", MasterCard "MA", Visa "V"
• Pharmaceutical: Johnson & Johnson "JNJ", Pfizer "PFE",
  Merck & Co "MRK", AstraZeneca "AZN"
• Food: Yum! "YUM", McDonald's "MCD", Starbucks "SBUX", Domino's Pizza "DPZ",
• Education: Udemy "UDMY", Duolingo "DUOL", Coursera "COUR", Chegg Inc "CHGG",
• Energy: Exxon Mobil "XOM", Chevron "CVX", Shell "SHEL", NextEra "NEE"

ML Use cases 🧙🏻‍♂️

• Univariate Time Series Forecasting: ARIMA, RNN, LSTM
• Multivariate Time Series Forecasting: Vector AutoRegressive (VAR)
• Exploratory Data Analysis

Getting Started 👩🏻‍💻

Don't know where to begin?? Kick start your analysis with this notebook to gain a better understanding of the data!

HAPPY KAGGLING