👋 Hi, I’m Serdar Gundogdu.

Innovator, Problem Solver, Python Geek, Data Scientist, Engineer, Lean Practitioner, Lean 6 Sigma Black Belt. I’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, Toolbox.

Newest Share is GitHub Foundations Certification on 13 February 2025

Build Professional Skills in Computer Science and Data Science in 2025

How will you be a full-stack Data Scientist in 2024?

Become a Data Scientist Series

-| Python For Data Science

• Write to Clean Python Code

--| Python Deep Dive

• Identifier Names
• Variables and Memory
• Everything is an Object
• Function Parameters
• Global and Local Scopes
• Free Variables and Closures
• Decorators
• Named Tuples
• Python Coding Concepts

--| Numpy

• Computation with NumPy and N-Dimensional Arrays

--| Pandas

• Data Exploration with Pandas
• Aggregate and Merge Data with Pandas
• Rule-Based Classification : Potential Customer Revenue Calculation with Pandas

--| Matplotlib

• Data Visualisation with Matplotlib

--| Seaborn

• Linear Regression and Data Visualisation with Seaborn

--| Plotly

• Beautiful Plotly Charts: Analysing the Android App Store
• Analysing The Nobel Prize with Plotly, Matplotlib and Seaborn

-| CRM Analytics

• CRM Analytics: RFM (Recency, Frequency, Monetary) Analysis : Customer Segmentation
• CRM Analytics: BG-NBD and Gamma-Gamma Model: CLV (Customer Lifetime Value) Prediction

-| Measurement Problems

• Rating Products
• Sorting Products
• IMDB Application
• Sorting Reviews
• Sorting Products, Sorting Reviews
• The Tragic Discovery of Handwashing: t-Tests and Distributions

-| Recommendation Systems

-| Feature Engineering

• Feature Engineering Cookbook

-| Machine Learning

• Introduction to The Gradient Descent Algorithm
• Multivariable Regression
• Multivariable Regression and Valuation: Predict House Prices
• Titanic, My First Submission on Kaggle
• House Prices: Advanced Regression Techniques
• Football Talent Hunt Classification With ML
• Customer Segmentation with Unsupervised Learning
• Spaceship Titanic: A Complete Guide

-| Time Series

• Data Science Evolution for Time Series With 61 Libraries and Task List in 2024
• Resampling and Visualising Time Series
• Forecasting Bus Demand with Time Series
• GDZ Electric Datathlon Smoothing and Statistical Methods
• GDZ Electric Datathon Machine Learning Solution (LightGBM)
• GDZ Electric Datathon Machine Learning Solution Fundamental (XGBoost)
• GDZ Electric Datathon Machine Learning Solution Advanced (XGBoost)
• GDZ Electric Datathon Machine Learning Solution Fundamental (Prophet)
• GDZ Electric Datathon Machine Learning Solution Advanced (Prophet)
• A Full Guide of PROPHET Model in GDZ Electric
• A Full Guide of XGBoost

-| Unsupervised Learning

• Predictive Maintenance with Unsupervised Machine Learning Algorithms

-| Natural Language Processing

• Naive Bayes Classifier: Filtering Spam Emails

-| Deep Learning

• Neural Nets - Pre-Trained Image Classification
• Neural Nets - Keras Cifar 10 Classification
• Time Series Fundamentals in TensorFlow

-| SQL Querying

• Relational Algebra

-| Spark Machine Learning

• Popular Big Data Technologies - CHATGPT

-| Production Level Data Science

-| Cloud Computing

• AWS Cloud Practitioner-Infographics
• AWS Certified Cloud Practitioner Exam Prep Transcripts
• Microsoft Certified: Azure Fundamentals
• Google Cloud Digital Leader Learning Path
• A Cloud Technology Journey in 2024
• Microsoft Certified: Azure Data Fundamentals
• Microsoft Certified: Azure AI Fundamentals

-| Fundamental Computer Science Knowledges

• Computer Science explained
• Introduction to C - Pointers in C
• Introduction to C - Structures in C
• Introduction to C - Type definitions: typedef
• UML Diagrams
• S.O.L.I.D. Design Principles in Python
• Advanced OOP in Python
• Design Patterns in Python Cheat Sheet
• Introduction to Linux
• OSI Model Deep Dive
• GitHub Foundations Certification

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