edwardleardi / mle-ds-swe-cheat-sheetsLinks
☆309Updated 2 years ago
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
Sorting:
- This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.☆428Updated 10 months ago
- Landmark Papers in Machine Learning☆629Updated 9 months ago
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆348Updated 3 years ago
- Kaggle Pipeline for tabular data competitions☆207Updated last year
- Learn by doing: DIY project groups at DataTalks.Club☆409Updated last year
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆166Updated 9 months ago
- Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features☆651Updated 9 months ago
- Collection of useful machine learning codes and snippets (originally intended for my personal use)☆819Updated last year
- 100 exercises to learn Python Datatable☆268Updated 3 years ago
- Compilation of high-profile real-world examples of failed machine learning projects☆732Updated last year
- A list of awesome data podcasts☆376Updated 2 years ago
- GitHub Repo with various ML/AI/DS resources that I find useful☆464Updated last year
- Problem sets from practiceprobs.com☆326Updated 3 years ago
- 200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.☆2,116Updated last month
- Blogs on Machine Learning and Deep learning☆112Updated 3 years ago
- A curated list of awesome fastai projects/blog posts/tutorials/etc.☆172Updated 3 years ago
- A tutorial for setting a new machine with core data science tools☆292Updated 6 months ago
- Examples of python neural net and ML stock prediction methods with sample stock data.☆270Updated 7 months ago
- Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithm…☆132Updated last year
- ☆93Updated 2 years ago
- How to become a data scientist in 30 days☆213Updated 3 years ago
- Cracking the Data Science Interview☆354Updated 5 years ago
- ML Zoomcamp fall 2021 homework and stuff☆66Updated 3 years ago
- ☆152Updated 3 years ago
- Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022☆492Updated 2 years ago
- A roadmap for those looking to start or expand a career in the data community☆299Updated last year
- 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…☆183Updated 3 years ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆201Updated last year
- Learning paths for data roles☆129Updated 4 years ago
- Porting the R code in ISL to python. Labs and exercises☆199Updated 2 years ago