• Sathya K
• Karthiban R

Stock market prediction is one among the challenging machine learning problems. It depends on large number of factors which contribute to change in supply and demand. The steps for the project is of installing the platforms, loading the datasets, visualize the dataset and define the features and labels and finally the prediction is made. In stock market business Prediction plays the very important role that is the complex process. The purpose of this project is to comparatively analyze the effectiveness of prediction algorithm and stock market and get general site of this data through visualization to predict future stock behavior and value address for each stock[2]. Many methods like technical analysis, fundamental analysis, time series analysis, statistical analysis etc. are used to determine the stock price

Stock market prediction, machine learning, linear regression, k-nearest neighbors.

"Stock market prediction using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 3, page no.1671-1675, March-2021, Available :http://www.jetir.org/papers/JETIR2103210.pdf

"Stock market prediction using machine learning", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 3, page no. pp1671-1675, March-2021, Available at : http://www.jetir.org/papers/JETIR2103210.pdf