machine-learning-for-trading VS zero-to-mastery-ml

Compare machine-learning-for-trading vs zero-to-mastery-ml and see what are their differences.

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machine-learning-for-trading zero-to-mastery-ml
224 126
11,750 2,561
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1.1 8.3
10 months ago 7 days ago
Jupyter Notebook Jupyter Notebook
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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.

machine-learning-for-trading

Posts with mentions or reviews of machine-learning-for-trading. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-25.

zero-to-mastery-ml

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

What are some alternatives?

When comparing machine-learning-for-trading and zero-to-mastery-ml you can also consider the following projects:

SDV - Synthetic data generation for tabular data

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

Mad-Money-Backtesting - Backtesting recommendations from Mad Money and "The Cramer Effect/Bounce"

probability - Probabilistic reasoning and statistical analysis in TensorFlow

documentation - This repository contains the documentation for the current Quantiacs project. Check it out at: https://quantiacs.com/documentation/en/

fastbook - The fastai book, published as Jupyter Notebooks

cryptocurrency-price-prediction - Cryptocurrency Price Prediction Using LSTM neural network

ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

TTM - # TTM Stock squeeze detection based on bollinger + keltner channels. Detects which stocks are out after bollinger is inside keltner channel.

H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

fraud-detection-handbook - Reproducible Machine Learning for Credit Card Fraud Detection - Practical Handbook

SynthDet - SynthDet - An end-to-end object detection pipeline using synthetic data