Analysis and Prediction of Stock Market Movements using Machine learning

As vast amounts of data are generated every day in many organizations, health, education, transport, business, marketing, communication, etc. All the data cannot be used for every analysis and processing as it contains some redundant data, outliers, some corrupted data, missing values and so on. To gain the knowledge-based and predictive data from this data, Data Science plays a crucial role. Data Science is a process of analysis and differentiating historical data to evaluate patterns or predict the occurrence of a future event using its robust algorithms. Many Organizations nowadays realized the importance of Data Science and started implementing it in their strategic analysis and planning processes. This research study analyses the historical data of some stock market companies between certain time periods and perform analysis by using a data science algorithm and check the accuracy of predictions. Finally, the prediction results are compared with the accuracy of other algorithms and the best possible algorithm will be selected.