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  1. Web app to predict closing stock prices in real time using Facebook's Prophet time series algorithm with a multi-variate, single-step time series forecasting strategy.

  2. This repository hosts a stock market prediction model for Tesla and Apple using Liquid Neural Networks. It showcases data-driven forecasting techniques, feature engineering, and machine learning to enhance the accuracy of financial predictions.

  3. Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations.

  4. 20 mar 2024 · Explore stock price prediction using ML, covering time-series analysis, using LSTM, and Moving Average (MA) techniques.

  5. This project walks you through the end-to-end data science lifecycle of developing a predictive model for stock price movements with Alpha Vantage APIs and a powerful machine learning...

  6. 16 sie 2023 · In this blog post, we delve into a machine learning project aimed at predicting stock prices using historical data and the insights gained from the process. The Project’s Purpose. This...

  7. 19 lip 2024 · Making Predictions. Step-by-Step Guide to Predicting Stock Prices Using CatBoost. Step 1: Importing Libraries and Loading the Dataset. Step 2: Data Preparation. Step 3: Training the CatBoost Model. Step 4: Evaluating the Model.

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  2. Comes with 200+ Templates to Help You Get Started. Try monday.com for Free Today. Optimize The Way You Run Projects with Integrations, No-Code Automations, & Dashboards.

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