Made-With-ML VS zero-to-mastery-ml

Compare Made-With-ML vs zero-to-mastery-ml and see what are their differences.

zero-to-mastery-ml

All course materials for the Zero to Mastery Machine Learning and Data Science course. (by mrdbourke)
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Made-With-ML zero-to-mastery-ml
51 126
35,567 2,561
- -
6.8 8.3
4 months ago 6 days 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.
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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.

Made-With-ML

Posts with mentions or reviews of Made-With-ML. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-06-25.

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 Made-With-ML and zero-to-mastery-ml you can also consider the following projects:

mlops-zoomcamp - Free MLOps course from DataTalks.Club

machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

probability - Probabilistic reasoning and statistical analysis in TensorFlow

practical-mlops-book - [Book-2021] Practical MLOps O'Reilly Book

fastbook - The fastai book, published as Jupyter Notebooks

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

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

Copulas - A library to model multivariate data using copulas.

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.

ETCI-2021-Competition-on-Flood-Detection - Experiments on Flood Segmentation on Sentinel-1 SAR Imagery with Cyclical Pseudo Labeling and Noisy Student Training

awesome-mlops - A curated list of references for MLOps