discdiver / 2019-in-demand-ds-tech-skillsLinks
Jupyter notebook for scraping and analysis of most in demand job technologies skills for data scientists.
☆47Updated 5 years ago
Alternatives and similar repositories for 2019-in-demand-ds-tech-skills
Users that are interested in 2019-in-demand-ds-tech-skills are comparing it to the libraries listed below
Sorting:
- Tutorial given at PyData LA 2018☆97Updated 10 months ago
- ARIMA forecasts on the AirPassengers dataset built in Python and Tableau☆50Updated 6 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 6 years ago
- Explore 120 million taxi trips in real time with Dash and Vaex☆117Updated 4 years ago
- ☆155Updated 4 years ago
- Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone☆211Updated 5 years ago
- Collection of interactive Jupiter Notebook widgets and graphs.☆160Updated last year
- A short workshop on datascience pipelines using mlflow and airflow☆53Updated 2 years ago
- ☆27Updated 5 years ago
- ☆73Updated 6 years ago
- Python data science and machine learning from Ted Petrou with Dunder Data☆55Updated 2 years ago
- ☆293Updated 6 years ago
- ☆152Updated 4 years ago
- Predicting Employee Churn with Supervised Machine Learning☆65Updated 4 years ago
- ☆63Updated last year
- ☆57Updated 6 years ago
- [Video]AWS Certified Machine Learning-Specialty (ML-S) Guide☆121Updated 6 months ago
- Wine Dash App☆66Updated 5 years ago
- Data Science for Good Projects☆49Updated 6 years ago
- ☆17Updated 7 years ago
- Machine learning and process automation☆137Updated 2 years ago
- Useful Data Science and Machine Learning Tools,Libraries and Packages☆234Updated 7 months ago
- My dataquest project solutions☆46Updated 7 years ago
- This repository is to host template for calculating ROI on Artificial Intelligence projects☆45Updated 5 years ago
- Course on Udemy by Jose Portilla☆99Updated 7 years ago
- Guide on creating an API for serving your ML model☆66Updated 3 years ago
- Analysis for Customer Segmentation☆71Updated 4 years ago
- ☆110Updated 9 years ago
- Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH☆155Updated 4 years ago
- A step-by-step guide to get started with Applied Machine Learning☆140Updated 6 years ago