To build the stock price prediction model, we have used the NSE TATA GLOBAL dataset. This is a dataset of Tata Beverages from Tata Global Beverages Limited, National Stock Exchange of India: Tata Global Dataset To develop the dashboard for stock analysis we used another stock dataset with multiple stocks like Apple, Microsoft, Facebook: Stocks Dataset

Using features like the most recent declarations of an organization, their quarterly income figures, and so on. We will work with published information regarding a freely recorded organization’s stock costs in this report. We’ll use a combination of AI calculations to forecast this company’s future stock price with LSTM.

We have build model to analyze and predict, whether a person, who had boarded the Titanic has a chance of survival or not, using Machine Learning’s Logistic Regression model.

It is a supervised learning classification algorithm used to predict the probability of a target variable. The nature of target or dependent variable is dichotomous

The React Social Network is an open source project relying on React a powerful javascript library for building the user interface. In this project, I tried to show some features of react/react components as a social network. The structure of this project give the ability to developer to develop their project on their own idea and environment.