New repository with coding evolutions

Using the state of the art packages

To become a great Data Scientist some skills are required:

I . Mathematics especially Statistics and Probability II . Python & R

III . SQL

Then comes

IV. Machine learning

V. Analytics Mindset, Solving business problems.

Here we will try to see all of these aspects.

Data Science & Artificial Intelligence Use Cases:

Data analysis 📊 Time series 📈 Machine Learning Natural Language Processing 📰 Computer Vision 👁️ Web Development: www.sitraka.fr

NEW OBJECTIVE/ become ML OPS

Great Databases:

Google Dataset Search 👉🏽?🏼https://datasetsearch.research.google...​

Kaggle Datasets 👉🏽?🏼https://www.kaggle.com/data

US Economics 💸 https://fred.stlouisfed.org

GIS 🧭 https://www.openstreetmap.fr/

All DB: https://dbdb.io/

Open ML

The Seminal Article of Data Science job rush (2012)

Is Data Scientist Still the Sexiest Job of the 21st Century? (2022)

🇫🇷 French Economics DB

Label Studio

AI Computations Survey Is indeed a cool site!

Best Practices: To have a stable Python env. use Poetry

To define the requirements: use pip freeze > requirements.txt

Follow the Zen of Python here

Usefull website for an overview

Machine Learning Roadmap by Daniel Broke

Study Everyday ML_ DB Journey

MIT Optimization

HakerRank

http://web.stanford.edu/class/cme193/syllabus.html