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This article was published as a part of the Data Science Blogathon

Introduction to Stock Market Prediction
Stock market prediction and analysis are some of the most difficult jobs to complete. There are numerous causes for this, including market volatility and a variety of other dependent and independent variables that influence the value of a certain stock in the market. These variables make it extremely difficult for any stock market expert to anticipate the rise and fall of the market with great precision.

However, with the introduction of Machine Learning and its strong algorithms, the most recent market research and Stock Market Prediction advancements have begun to include such approaches in analyzing stock market data.

1.How to predict Stocks in Stock market
2.Using artificial intelligence to predict stock market trend
3.Stock market analysis
4.Understand how to use Python for machine learning
5.Test trading strategies using prediction tools
6.Develop and Implement your own Stocks target
7.Test Artificial intelligence prediction using historical data
8.Identify trading opportunities
9.Artificial intelligence