edwardleardi / mle-ds-swe-cheat-sheets
☆306Updated 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
- Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning☆349Updated 3 years ago
- A curated list of awesome fastai projects/blog posts/tutorials/etc.☆167Updated 3 years ago
- Kaggle Pipeline for tabular data competitions☆204Updated 8 months ago
- GitHub Repo with various ML/AI/DS resources that I find useful☆460Updated 8 months ago
- Complete deep learning project developed in Full Stack Deep Learning, 2022 edition. Generated automatically from https://github.com/full-…☆462Updated last year
- Building a fake news detector from initial ideation to model deployment☆150Updated 3 weeks ago
- Software Architecture for ML engineers☆398Updated 2 years ago
- A tutorial for setting a new machine with core data science tools☆290Updated 2 months ago
- Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features☆558Updated 5 months ago
- This repository is a supplement to the 'Machine Learning Simplified: A Gentle Introduction to Supervised Learning' book.☆428Updated 6 months ago
- Basic and advanced ML algorithms with customised functions☆38Updated last year
- Landmark Papers in Machine Learning☆598Updated 5 months ago
- 200+ detailed flashcards useful for reviewing topics in machine learning, computer vision, and computer science.☆2,071Updated 9 months ago
- Free hands-on course with the implementation (in Python) and description of several computational, mathematical and statistical algorithm…☆132Updated last year
- Examples of python neural net and ML stock prediction methods with sample stock data.☆269Updated 3 months ago
- A repository to prepare you for your machine learning interview, involving most of the questions asked by all the tech giants and local c…☆475Updated 7 months ago
- [Resource] A top level overview of major DL architectures☆48Updated 2 years ago
- 100 exercises to learn Python Datatable☆268Updated 3 years ago
- Blogs on Machine Learning and Deep learning☆110Updated 3 years ago
- 📌 Papers, guides, and mentor interviews on applying machine learning for ApplyingML.com—the ghost knowledge of machine learning.☆198Updated 9 months ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆213Updated 2 years ago
- Learn how to design, develop, deploy and iterate on production-grade ML applications.☆3,062Updated 6 months ago
- A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.☆165Updated 5 months ago
- ☆146Updated 3 years ago
- Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.☆454Updated last year
- The first machine learning framework that encourages learning ML concepts instead of memorizing class functions.☆336Updated last year
- Toy example of an applied ML pipeline for me to experiment with MLOps tools.☆207Updated 3 years ago
- Compilation of high-profile real-world examples of failed machine learning projects☆728Updated 9 months ago
- Collection of articles listing reasons why data science projects fail.☆463Updated 4 years ago
- ☆316Updated 4 years ago