Deep-Learning-Machine-Learning-Stock VS Astock

Compare Deep-Learning-Machine-Learning-Stock vs Astock and see what are their differences.

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Deep-Learning-Machine-Learning-Stock Astock
5 1
792 189
- -
10.0 3.9
about 1 year ago 9 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Deep-Learning-Machine-Learning-Stock

Posts with mentions or reviews of Deep-Learning-Machine-Learning-Stock. We have used some of these posts to build our list of alternatives and similar projects.

Astock

Posts with mentions or reviews of Astock. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing Deep-Learning-Machine-Learning-Stock and Astock you can also consider the following projects:

tsfresh - Automatic extraction of relevant features from time series:

sms_spam_detection - Build a deep learning spam detection system for sms using ktrain.

DataScienceProjects

Deep_Learning_Machine_Learning_Stock - Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

thesis_undergrad - Documentation: Methodology and Exploratory Data Analysis

mstables - MorningStar.com scraper that consolidates tens of thousands of financial records into a SQLite relational database. Class 'dataframes' easily converts the SQLite data into pandas DataFrames (see Jupyter notebook for examples)

bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

100DaysOfML - 100 Days Of Machine Learning. New Content in every 1-2 day and projects every week. The massive 100DaysOfML in building

FeatureHub - The most comprehensive library of AI/ML features across multiple domains. Our goal is to create a dataset that serves as a valuable resource for researchers and data scientists worldwide

Advertisement-Recommendation - Video Content-Based Advertisement Recommendation Using Text Classification

TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

trading-bot - Stock Trading Bot using Deep Q-Learning