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devpost.com
LSTM Neural Network for Predicting Stock Market Trends
Imagine having the power to foresee stock market trends with unprecedented accuracy. This project utilizes LSTM Neural Networks and revolutionizes stock market predictions.
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devpost.com
Nov 14, 2020
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This video walks you through building an LSTM model to forecast Microsoft stock prices, step by step, using Python and TensorFlow. It explains how to process stock data, create supervised learning inputs, and train an LSTM for time series predictions. It highlights the challenges of stock prediction, shows how LSTMs handle trends, and explains why these models struggle with long-term forecasting. Great project for learning and showcasing skills! #MachineLearning #AI #DataScience #ArtificialIntel
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Types of Machine Learning Algorithms You MUST Know in 2025! From predicting stock prices to generating AI images, every ML model fits into a category. Master these and you master Data Science. Supervised Learning • Regression: price prediction • Classification: spam detection • Sequence Prediction: stock forecasting Unsupervised Learning • Clustering: customer segments • Dimensionality Reduction: PCA • Anomaly Detection: fraud detection Semi-Supervised Learning • Few labeled many unlabeled data:
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