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Complete-Python-Bootcamp Public
Forked from krishnaik06/Complete-Python-BootcampFor Personal learning - Python programming
Jupyter Notebook GNU General Public License v3.0 UpdatedAug 12, 2024 -
Complete-Data-Science-With-Machine-Learning-And-NLP-2024 Public
Forked from krishnaik06/Complete-Data-Science-With-Machine-Learning-And-NLP-2024Copy from Krish Naik s ML course
Jupyter Notebook MIT License UpdatedJul 10, 2024 -
dvc_winequality Public
Learning basics of MLOps with DVC and Wine Quality data
Python UpdatedMay 19, 2024 -
The-Grand-Complete-Data-Science-Materials Public
Forked from krishnaik06/The-Grand-Complete-Data-Science-MaterialsForked from Krish Naik
Python GNU General Public License v2.0 UpdatedApr 20, 2024 -
py Public
Forked from codebasics/pyRepository to store sample python programs for python learning
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mlops-zoomcamp Public
Forked from DataTalksClub/mlops-zoomcampFree MLOps course from DataTalks.Club
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awesome Public
Forked from sindresorhus/awesome😎 Awesome lists about all kinds of interesting topics
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machine-learning-interview Public
Forked from khangich/machine-learning-interviewMachine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
1 UpdatedMay 11, 2022 -
Data-Science-Interview-Resources Public
Forked from rbhatia46/Data-Science-Interview-ResourcesA repository listing out the potential sources which will help you in preparing for a Data Science/Machine Learning interview. New resources added frequently.
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awesome-python-data-science Public
Forked from krzjoa/awesome-python-data-scienceProbably the best curated list of data science software in Python.
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turing-commons Public
Forked from AshmitaRandhawa/turing-commonsA repository to host materials for the Turing Commons online training
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gaze_country_code Public
Forked from mysociety/gazeThe mySociety Gazetteer web service
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LinearProgrammingBasics Public
Forked from nicknochnack/LinearProgrammingBasics -
ActiveLearningFrameworkTutorial Public
Forked from orico/ActiveLearningFrameworkTutorialAn active learning framework, using interchangeable algorithms and sample selection functions, including experimental results on a toy data-set.
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