edwardleardi / mle-ds-swe-cheat-sheets

Related projects ⓘ

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

• daturkel / learning-papers
  Landmark Papers in Machine Learning
  ☆551Updated last month
• arnabbiswas1 / kaggle_pipeline_tps_aug_22
  Kaggle Pipeline for tabular data competitions
  ☆204Updated 4 months ago
• Vitomir84 / ML_algorithms
  Basic and advanced ML algorithms with customised functions
  ☆38Updated 9 months ago
• JanPalasek / pretty-jupyter
  Creates dynamic html report from jupyter notebook.
  ☆293Updated 8 months ago
• b7leung / MLE-Flashcards
  200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.
  ☆1,989Updated 4 months ago
• BexTuychiev / tricking-data-science
  A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
  ☆165Updated last month
• kennethleungty / Failed-ML
  Compilation of high-profile real-world examples of failed machine learning projects
  ☆713Updated 4 months ago
• jacopotagliabue / MLSys-NYU-2022
  Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
  ☆366Updated last year
• vopani / datatableton
  100 exercises to learn Python Datatable
  ☆268Updated 2 years ago
• ThinamXx / ML..Interview..Preparation
  Preparation for Machine Learning Interview
  ☆177Updated 2 months ago
• parrt / msds621
  Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning
  ☆348Updated 2 years ago
• featurestoreorg / serverless-ml-course
  Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
  ☆536Updated last month
• DataTalksClub / project-of-the-week
  Learn by doing: DIY project groups at DataTalks.Club
  ☆376Updated 5 months ago
• D-dot-AT / Stock-Prediction-Neural-Network-and-Machine-Learning-Examples
  Examples of python neural net and ML stock prediction methods with sample stock data.
  ☆269Updated 10 months ago
• msaroufim / ml-design-patterns
  Software Architecture for ML engineers
  ☆383Updated 2 years ago
• mattharrison / effective_xgboost_book
  ☆272Updated last year
• jsulopzs / resolving-machine-learning-python
  ☆94Updated last year
• leehanchung / awesome-full-stack-machine-learning-courses
  Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
  ☆432Updated last year
• 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 2 years ago
• Paulescu / hands-on-train-and-deploy-ml
  Train and Deploy an ML REST API to predict crypto prices, in 10 steps
  ☆755Updated 5 months ago
• youssefHosni / Efficient-Python-for-Data-Scientists
  Writing clean and optimized Python code
  ☆535Updated 2 months ago
• xLaszlo / datascience-fails
  Collection of articles listing reasons why data science projects fail.
  ☆457Updated 3 years ago
• merveenoyan / my_notes
  My small cheatsheets for data science, ML, computer science and more.
  ☆1,638Updated last year
• tmabraham / awesome-fastai
  A curated list of awesome fastai projects/blog posts/tutorials/etc.
  ☆164Updated 2 years ago
• johnGettings / Deep_Learning_Architectures
  [Resource] A top level overview of major DL architectures
  ☆45Updated last year
• koaning / doubtlab
  Doubt your data, find bad labels.
  ☆504Updated 3 months ago
• ziritrion / ml-zoomcamp
  ML Zoomcamp fall 2021 homework and stuff
  ☆59Updated 2 years ago
• PacktPublishing / Practical-Deep-Learning-at-Scale-with-MLFlow
  Practical Deep Learning at Scale with MLFlow, published by Packt
  ☆157Updated 11 months ago
• Lightning-AI / dl-fundamentals
  Deep Learning Fundamentals -- Code material and exercises
  ☆346Updated 8 months ago