Overview / Usage

I worked on a project on Sentiment Analysis of tweets of #Amazon and predicting stock prices of Amazon based on user sentiments.Shaping the project in 24 hours was fun and exciting.The challenge was clustering of moods and intaking real-life reactions of people on events/environmental disasters/festivals etc.Also, accounting other factors like CEO activities, company brand tarnishing etc were other important challenging factors to be implemented.I started by scraping the tweets about #Amazon and collecting the stock Data from Yahoo Finance.Next, I cleaned up the data and found the tweet sentiments.Later found the correlation between the existing data of stock fluctuations and sentiments.Finally, I built a TensorFlow Deep Neural Network to train the data and on testing the model I got standard accuracy.It was great to learn about stocks and ML models while structuring the project.At the end of the day, I developed my motivation, confidence to complete and of course updated my tech-stack.Link of some initial phase of the repository - https://github.com/SKKSaikia/Stock_Prediction