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Python Machine Learning 2023 ID: 1CP0703

Prediction of Stock Market Trends Using Machine Learning and Deep Learning Algorithms in Python

Keywords: Stock Market Prediction, Machine Learning, Deep Learning, LSTM, Linear Regression, Decision Tree, Time Series Forecasting, Python

Project Synopsis & Overview

This project predicts stock market trends from historical stock price and trading data using machine learning and deep learning in Python. The data is collected, preprocessed, and visualized, then Linear Regression, Decision Tree, and LSTM models are trained and compared using accuracy scores. The best-performing model forecasts future prices, helping investors reduce uncertainty and make better-informed buying and selling decisions.

Complete Technical Specifications

Project ID 1CP0703 (DB ID: 703)
Project Title Prediction of Stock Market Trends Using Machine Learning and Deep Learning Algorithms in Python
Domain Division Python
Sub-Domain / Tech Machine Learning
IEEE Year 2023
Package Price ₹6500
Created Date Nov 13, 2026
Project Price
₹6500 ₹8000 20% OFF
100% Executable Source Code & DB
IEEE Journal Paper Synopsis & PPT
1-on-1 AnyDesk/Zoom Live Setup Support
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