Alternatives and similar repositories for cohort7_practicals

Users that are interested in cohort7_practicals are comparing it to the libraries listed below

• AISaturdaysLagos / cohort7_classes
  This repository houses materials consulted by the instructors
  ☆12Updated 3 years ago
• Maatos / Data-Science-projects
  Data Science Projects
  ☆53Updated 5 years ago
• AISaturdaysLagos / cohort_structure
  This repository contains detailed information about the structure of AI Saturdays Lagos Cohort.
  ☆78Updated last month
• monchiestevez / Iris
  Series of image recognition algorithms that can diagnose diseases by analysing a picture of the iris of the person
  ☆12Updated 6 years ago
• deep-learning-indaba / indaba-pracs-2023
  Notebooks for the Practicals at the Deep Learning Indaba 2023.
  ☆132Updated last year
• ThinamXx / ML..Interview..Preparation
  Preparation for Machine Learning Interview
  ☆187Updated last year
• Pegah-Ardehkhani / Statistics-and-Probability-in-Python
  A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python
  ☆150Updated 9 months ago
• OmdenaAI / omdena-philippines-renewable
  Increasing Renewable Energy Access in Philippines through AI
  ☆56Updated 3 years ago
• ThinamXx / Fastai
  I will implement Fastai in each projects present in this repository.
  ☆64Updated 2 years ago
• MatthewKosloski / starting-out-with-python
  Chapter and homework exercises from Starting Out with Python (3rd edition) by Tony Gaddis.
  ☆14Updated 7 years ago
• kurtispykes / Python
  All curated content and code about Python
  ☆87Updated 3 years ago
• khuyentran1401 / awesome-Python-data-science-books
  Probably the best curated list of data science books in Python
  ☆421Updated last month
• jsulopzs / resolving-machine-learning-python
  ☆93Updated 2 years ago
• dbclinton / jupyter_data
  Jupyter notebooks
  ☆114Updated 4 years ago
• PacktPublishing / Comet-for-Data-Science
  Comet for Data Science, published by Packt
  ☆42Updated this week
• youssefHosni / My-Medium-Articles-Friendly-Links
  Friendly link to all of my medium articles
  ☆179Updated last year
• DataTalksClub / project-of-the-week
  Learn by doing: DIY project groups at DataTalks.Club
  ☆413Updated last year
• PacktPublishing / Applied-Geospatial-Data-Science-with-Python
  Applied Geospatial Data Science with Python, published by Packt
  ☆120Updated this week
• gahogg / YouTube-I-mostly-use-colab-now-
  The Repository for all code I use in my Data Science and Machine Learning Tutorials on YouTube
  ☆75Updated 3 years ago
• mebauer / data-analysis-using-python
  Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data.
  ☆267Updated last year
• dataprofessor / penguins-heroku
  ☆67Updated last year
• youssefHosni / Efficient-Python-for-Data-Scientists-Book
  Official Repo for the Efficient Python for Data Scientists Book. You can buy the book from here:
  ☆581Updated 10 months ago
• Paulescu / fast_eda
  Fast data exploration using Sweetviz
  ☆23Updated 3 years ago
• particle1331 / ok-transformer
  Exploring machine learning engineering and operations. ❚
  ☆39Updated 7 months ago
• PlayingNumbers / fundamentals
  Fundamentals of data exploration, data manipulation, data cleaning, and data analysis
  ☆66Updated 6 years ago
• MemoonaTahira / MLZoomcamp2022
  My repo for the Machine Learning Engineering bootcamp 2022 by DataTalks.Club
  ☆21Updated 2 years ago
• ajhalthor / bayesian-testing
  Notebook to walk through Bayesian testing with Kaggle data
  ☆38Updated 4 years ago
• EdemGold / Nutshell-Machine-Learning
  This is a repository built by the community for the community.
  ☆81Updated 4 years ago
• sharmaroshan / Statistics-for-Data-Science
  Learning Statistics is one of the most Important step to get into the World of Data Science and Machine Learning. Statistics helps us to …
  ☆185Updated 2 years ago
• Paulescu / build-and-deploy-real-time-feature-pipeline
  Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.
  ☆135Updated 2 years ago