Super easy Python stock price forecasting(using Random forest) Machine learning

1. tool installation

$ pip install scikit-learn pandas_datareader

2. file creation

3. execution

$ python

That’s super easy!

4. result

As a result of calculation with the same data and features, MLP are the best among XGBoost, DNN, LSTM, GRU, RNN, LogisticRegression, k-nearest neighbor, RandomForest, BernoulliNB, SVM, RGF, MLP, Bagging, Voting, Stacking.

XGBoost            0.5119047619047619
DNN 0.5496031746031746
LSTM 0.5178571428571429
GRU 0.5138888888888888
RNN 0.5376984126984127
LogisticRegression 0.5496031746031746
k-nearest neighbor 0.5198412698412699
RandomForest 0.49603174603174605
BernoulliNB 0.5496031746031746
SVM 0.5396825396825397
RGF 0.5158730158730159
MLP 0.5694444444444444
Bagging 0.5297619047619048
Voting 0.5416666666666666
Stacking 0.5218253968253969

5. reference




Love podcasts or audiobooks? Learn on the go with our new app.

Recommended from Medium

maven-s3-wagon loads wrong AWS credential

The Unknown Unknowns in an Enterprise Digital Transformation

7 Continuous Integration Tools for PHP Laravel Developers

HackTheBox — Backdoor

36 Useful Terminal Commands

A little bit of Bashfu for a specific case of log analysis

A Proposal for RESTful API’s with Mongoose and Express

Updating an Old Library

Get the Medium app

A button that says 'Download on the App Store', and if clicked it will lead you to the iOS App store
A button that says 'Get it on, Google Play', and if clicked it will lead you to the Google Play store


More from Medium

Essential Libraries To Have In Your Toolbox For Data Science And ML — Series #3 — Visualization…

Demystifying Time Series: A Beginner’s Guide to dealing with Date & Time (Part 1)

Python: Why axis = 0 leads to column wise Mean/Sum, but row wise drop/deletion?

How to use AutoViz to do Feature Selection for your Machine Learning

boston dataframe