BexTuychiev / tricking-data-scienceLinks
A book of subtle code tricks and gem resources for all things data, machine learning and deep learning.
☆169Updated last year
Alternatives and similar repositories for tricking-data-science
Users that are interested in tricking-data-science are comparing it to the libraries listed below
Sorting:
- Practical Deep Learning at Scale with MLFlow, published by Packt☆162Updated 3 weeks ago
- Examples of python neural net and ML stock prediction methods with sample stock data.☆271Updated last year
- Develop and deploy a real-time feature pipeline in Python, using Bytewax 🐝 and Hopsworks Feature Store.☆134Updated 2 years ago
- Applied Machine Learning Explainability Techniques, published by Packt☆246Updated 3 weeks ago
- Machine Learning for Imbalanced Data, published by Packt☆277Updated 3 weeks ago
- Fetch, transform and plot real-time OHLC data from Coinbase using Bytewax, Bokeh and Streamlit☆129Updated last year
- An end-to-end project on customer segmentation☆83Updated 2 years ago
- Demo for CI/CD in a machine learning project☆115Updated 2 years ago
- Tutorials on creating a reproducible and maintainable data science project☆150Updated 3 years ago
- Tutorials for the Hopsworks Platform☆307Updated last month
- ☆109Updated 2 years ago
- ☆292Updated 2 years ago
- Preparation for Machine Learning Interview☆186Updated last year
- Compute and store real-time features for crypto trading using Bytwax (stream processing) and Hopsworks (Feature Store)☆145Updated 2 years ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆230Updated 3 years ago
- Repository with code examples of mlflow☆226Updated 3 months ago
- A repository for all ZenML projects that are specific production use-cases.☆286Updated 3 months ago
- Engineering MLOps, published by Packt☆190Updated 3 weeks ago
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆103Updated 2 years ago
- Curated collection of awesome resources and tutorials for mastering Data Science, Machine Learning, Deep Learning, and Python.☆51Updated last year
- Free Open-source ML observability course for data scientists and ML engineers. Learn how to monitor and debug your ML models in productio…☆98Updated last year
- Friendly link to all of my medium articles☆179Updated last year
- ☆20Updated 3 years ago
- LLM Engineering CrashCourse☆103Updated last year
- Code repository for the online course Machine Learning Interpretability☆28Updated 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…☆184Updated 3 years ago
- Portfolio in Python☆48Updated 2 years ago
- Project bike sharing predictor☆79Updated 3 months ago
- All content related to machine learning from my blog☆116Updated 3 years ago
- Machine Learning Engineering with Python☆185Updated 3 weeks ago