Alternatives and similar repositories for mle-ds-swe-cheat-sheets

Users that are interested in mle-ds-swe-cheat-sheets are comparing it to the libraries listed below

• practiceprobs / problemsets
  Problem sets from practiceprobs.com
  ☆343Updated 3 years ago
• 5x12 / themlsbook
  This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.
  ☆433Updated last year
• isaacfab / data-science-road-map
  A roadmap for those looking to start or expand a career in the data community
  ☆305Updated 5 months ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 4 years ago
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆205Updated last year
• b7leung / MLE-Flashcards
  200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
  ☆2,315Updated last month
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆271Updated 4 years ago
• tunguz / ML_Resources
  GitHub Repo with various ML/AI/DS resources that I find useful
  ☆468Updated last year
• jsulopzs / resolving-machine-learning-python
  ☆93Updated 2 years ago
• benthecoder / ml-blogs-that-are-worth-reading
  Blogs on Machine Learning and Deep learning
  ☆114Updated 4 years ago
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆173Updated 4 years ago
• ansegura7 / Algorithms
  Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithm…
  ☆133Updated 2 years ago
• daturkel / learning-papers
  Landmark Papers in Machine Learning
  ☆702Updated 5 months ago
• rasbt / machine-learning-notes
  Collection of useful machine learning codes and snippets (originally intended for my personal use)
  ☆836Updated last year
• DataTalksClub / project-of-the-week
  Learn by doing: DIY project groups at DataTalks.Club
  ☆415Updated last year
• brianrisk / Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
  Examples of python neural net and ML stock prediction methods with sample stock data.
  ☆271Updated last year
• mattharrison / effective_pandas_book
  Errata and code for Effective Pandas book
  ☆373Updated 3 years ago
• abhishekkrthakur / how-to-become-a-ds-in-30-days
  How to become a data scientist in 30 days
  ☆208Updated 4 years ago
• init27 / Deep-Learning-Book-Supplementary-Materials
  Supplementary Materials for the Deep Learning Book by Ian Goodfellow et al
  ☆54Updated 3 years ago
• ml874 / Cracking-the-Data-Science-Interview
  Cracking the Data Science Interview
  ☆363Updated 6 years ago
• mattharrison / effective_xgboost_book
  ☆295Updated 2 years ago
• trojrobert / MLOps_roadmap_and_curriculum
  Curriculum and roadmap from 0 to Mastery for MLOps. Adding value to your machine learning model by deploying it for people to use it to s…
  ☆184Updated 3 years ago
• featurestoreorg / serverless-ml-course
  Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
  ☆685Updated last year
• RamiKrispin / awesome-ds-setting
  A tutorial for setting a new machine with core data science tools
  ☆294Updated last year
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 4 years ago
• ashishpatel26 / ResourceBank_CV_NLP_MLOPS_2022
  This repository offers a goldmine of materials for students of computer vision, natural language processing, and machine learning operati…
  ☆423Updated 3 years ago
• the-full-stack / fsdl-text-recognizer-2022-labs
  Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…
  ☆493Updated 2 years ago
• Harvard-IACS / 2021-CS109A
  ☆144Updated 4 years ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆169Updated last year
• Gautam-J / Machine-Learning
  Implementation of different ML Algorithms from scratch, written in Python 3.x
  ☆411Updated last year