300Days__MachineLearningDeepLearning and 100_Days_MLDL

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: 577
Forks: 169
Downloads:
Commits (30d): 0
Language:
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 300Days__MachineLearningDeepLearning

ThinamXx/300Days__MachineLearningDeepLearning

I am sharing my Journey of 300DaysOfData in Machine Learning and Deep Learning.

This collection of resources and code examples provides a structured journey through machine learning and deep learning concepts. It compiles various books, research papers, and hands-on projects, demonstrating how to apply theoretical knowledge to real-world data tasks. This is ideal for aspiring data scientists, machine learning engineers, or anyone looking to build practical skills in AI.

data-science-education machine-learning-engineering deep-learning-practice ai-skill-building algorithmic-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

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