100-Days-Of-ML-Code and 100_Days_MLDL

Both projects are independent, but thematically similar, 100-day challenges for learning machine learning and deep learning, making them ecosystem siblings within the "structured-learning-challenges" category.

100-Days-Of-ML-Code

Established

100_Days_MLDL

Emerging

Maintenance 0/25

Adoption 10/25

Maturity 16/25

Community 25/25

Maintenance 0/25

Adoption 10/25

Maturity 8/25

Community 23/25

Stars: 22,212

Forks: 5,543

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: MIT

Stars: 213

Forks: 78

Downloads: —

Commits (30d): 0

Language: Jupyter Notebook

License: —

Stale 6m No Package No Dependents

No License Stale 6m No Package No Dependents

About 100-Days-Of-ML-Code

MLEveryday/100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

This resource helps individuals understand and implement various machine learning algorithms. It provides a structured learning path through different techniques like linear regression, decision trees, and K-means clustering. Each 'day' offers explanations and practical code examples, enabling aspiring data scientists and machine learning enthusiasts to build foundational skills from raw data to actionable models.

machine-learning-education data-science-fundamentals supervised-learning unsupervised-learning algorithm-implementation

About 100_Days_MLDL

ds-teja/100_Days_MLDL

Hello Data Enthusiast! I will be updating my 100-day Journey here along with detailed Code Files Starting from Essential Libraries to Advanced Machine Learning and Deep Learning Algorithm Theory with Implementation. Save for Later ⭐ Happy Learning :)

This resource provides a structured, daily learning path for anyone looking to master machine learning and deep learning. It offers detailed explanations and code implementations, starting from fundamental data science libraries like Pandas and NumPy, and progressing to advanced algorithms. The content is suitable for aspiring data scientists, analysts, or students who want to enhance their practical and theoretical understanding of data science.

data-science-education machine-learning-training deep-learning-fundamentals data-analysis-skills programming-for-data

Related comparisons

100-Days-Of-ML-Code and 100DaysOfML 100-Days-Of-ML-Code and 100-Days-of-Code-Data-Science 100-Days-Of-ML-Code and 100-Days-Of-ML-Code 100-Days-Of-ML-Code and 300Days__MachineLearningDeepLearning

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