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šŸ‘‹ Hi, Iā€™m Serdar Gundogdu.

Innovator, Problem Solver, Python Geek, Data Scientist, Engineer, Lean Practitioner, Lean 6 Sigma Black Belt. Iā€™m interested in Data Science and Python. I have a good understanding on Python. I share my growth mindset on http://www.dsml101.com

My Resume

My Future Design Of V-Shaped Data Scientist Me.

C CSharp JAVA

TensorFlow PyTorch

Newest Share are Feature Engineering for Time Series Forecasting-1 and Feature Engineering for Time Series Forecasting-2 on 05 March 2024

-| Python For Data Science

--| Numpy

--| Pandas

--| Matplotlib

--| Seaborn

--| Plotly

-| CRM Analytics

-| Measurement Problems

-| Recommendation Systems

-| Feature Engineering

-| Machine Learning

-| Natural Language Processing

-| Spark Machine Learning

-| Production Level Data Science

-| Fundamental Computer Science Knowledges

You can see my Become A Data Scientist plan on Notion.

serdar gundogdu's Projects

30-days-of-python icon 30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace.

awesome-python icon awesome-python

A curated list of awesome Python frameworks, libraries, software and resources

every-data-scientist-should-know icon every-data-scientist-should-know

A collection of (mostly) technical things every data scientist should know - `s/programmer/data-scientist/g` of every-programmer-should-know by @mtdvio

javascript-algorithms icon javascript-algorithms

šŸ“ Algorithms and data structures implemented in JavaScript with explanations and links to further readings

made-with-ml icon made-with-ml

Learn how to design, develop, deploy and iterate on production-grade ML applications.

mlbookcamp-code icon mlbookcamp-code

The code from the Machine Learning Bookcamp book and a free course based on the book

modern-js-cheatsheet icon modern-js-cheatsheet

Cheatsheet for the JavaScript knowledge you will frequently encounter in modern projects.

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