Скачать или смотреть KaggleX Project Showcase - Time Series Forecasting Using Deep Learning Models

This project is part of the KaggleX BIPOC Mentorship Program -2023 | 3rd Cohort.🚀💡

📊📈 The notebook explores deep learning algorithms applied to the Stock Market dataset from Kaggle, which contains daily stock market prices for NASDAQ, NYSE, and S&P500. The goal was to develop a model capable of forecasting the closing price for the next month.

The workflow included data wrangling, feature engineering, splitting the data into training, validation, and test sets, and preparing for deep learning modeling. 🚀🔍

💡📝 Moving forward, we trained various models, including baseline, linear, deep neural network, LSTM, CNN, combination models, and autoregressive LSTM. Each model aimed to improve the accuracy of our forecasts. By covering these topics, I aimed to provide a comprehensive understanding of time series forecasting models. I hope you found the information valuable and insightful.