krishnaik06/Complete-Data-Science-With-Machine-Learning-And-NLP-2024 resource

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2856 stars · 3336 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A companion repository for Krish Naik's Udemy course on complete data science, machine learning, NLP, and MLOps with end-to-end projects. It contains Jupyter Notebook course materials covering supervised/unsupervised learning, deep learning, NLP, and deployment tools like MLflow, BentoML, DVC, and GitHub Actions.

Use cases

• learn machine learning from scratch
• study NLP techniques with hands-on projects
• practice end-to-end ML project deployment
• learn MLOps tools like MLflow and DVC
• prepare for a data science career with structured course material
• understand CI/CD pipelines for ML projects

When to choose

• you want a structured, beginner-friendly curriculum covering ML, NLP, and MLOps
• you prefer learning through end-to-end practical projects
• you are following Krish Naik's Udemy course and need the code materials

When to avoid

• you need production-ready ML software or libraries rather than educational notebooks
• you want a reference implementation to deploy directly
• you need documentation or tooling rather than tutorials

Facets

learning-resource · maturity active

machine-learning nlp deep-learning etl ci-cd machine-learning data-science tutorials education python udemy-course mlops jupyter-notebooks end-to-end-projects krish-naik course-materials natural-language-processing

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