It predicts the price of a stock for upcoming 30 days

describe what can people use it for, or how it makes existing tasks easier/safer e.t.c (markdown supported)

The problem it solves

tell us about any specific bug or hurdle you ran into while building this project. how did you get over it? (markdown supported)

Challenges we ran into

Ingenious Hackathon 5.0

TensorFlow

ML Kit

scikit-learn

Deep Learning

Python

Stock market prediction of a stock price

A Machine Learning Model for Stock Market Prediction. Stock market prediction is the act of trying to determine the future value of a company stock or other financial instrument traded on a financial exchange using libraries like sci-kit learn, TensorFlow, pandas, and APIs used like Tiingo, etc in which a model is trained from past data of an individual stock and predicting the future price of it.
References: Jason Browniee Machine Learning Mastery Blogs.

FinTech (Financial Technology)

Chataka Pataka

Stock market prediction of a stock price

A Machine Learning Model for Stock Market Prediction using stacked LSTM using Deep learning.

Stock market prediction of a stock price

A Machine Learning Model for Stock Market Prediction using stacked LSTM using Deep learning.

The problem Stock market prediction of a stock price solves

Challenges we ran into

FinTech (Financial Technology)

Discussion

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