SULTANGOLD/Stock-Market-Prediction SULTANGOLD/Stock-Market-Prediction

  • Stars
    star
    4
  • Rank 3,246,072 (Top 66 %)
  • Language
    Jupyter Notebook
  • Created almost 5 years ago
  • Updated over 3 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
SULTANGOLD/Stock-Market-Prediction
github

SULTANGOLD

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Predicting the next price of TSLA stock using 3 different techniques of machine learning (Linear Regression, Quadratic Regression, KNN Regression)

More Repositories

1

Sentiment-analysis-on-Keras

Basic RNN with LSTM cells for sentiment analysis of tweets using Keras library
Jupyter Notebook
3
star
2

tf.js

Make money with ml (week 1)
JavaScript
2
star