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Dr Dilek Celik
AI & ML Engineer
Consultant
SKILLS
Python | SQL | Keras | Tensorflow | SciKit-Learn | Pandas | NumPy | SciPy | Matplotlib | Seaborn | ggplot2 | Jupyter Notebook | R Markdown | Advanced Statistics (SPSS, A/B Testing) | Hadoop | Cloud (AWS, Azure) | Tableau
Football Analytics
Frequently Asked Questions (FAQ) of Machine Learning
Which Tools are Best for Visualizing Machine Learning Experiments?
Machine learning experiment tracking and visualization tools provide essential support for developers, helping them analyze and refine...
Awesome Machine Learning Visualisations
This curated compilation presents interactive, animated visual explanations of various machine learning algorithms and fundamental...
Logistic Regression for Dummies
What is Logistic Regression? Logistic regression is a type of model that helps us predict whether something will happen or not—like a yes...
What is the difference between stateful and stateless training?
The difference between stateful and stateless training lies in how the model handles new data during training. Stateless Training: In...
What is Overfitting?
Imagine we have a model, say "m," that we train on a set of data, aiming to make predictions accurately based on this training data. In...
Unlocking the Potential of Sports Analytics: Understanding xG and Goal Prediction ⚽️😎
Introduction: In the realm of sports analytics, xG (expected goals) serves as a vital metric for gauging the likelihood of a shot...
⚽ Utilizing YOLO for Advanced Football Analysis: A Fenerbahçe SK Case Study! 🟡🔵
In today’s football landscape, data analysis has evolved into an essential asset for gaining competitive advantages. AI and machine...
Data Science and Machine Learning: Shaping Football’s Future and How Turkey’s Powerhouses Can Lead the Revolution
Fenerbahçe SK and Galatasaray SK have the capacity to influence the future of football, not only in terms of gameplay but across all...
AI FACTORIES
AI Factories: Episode 1 – So, what exactly is “AI Factories” or “AI Factory”? 🌟
“ In the future, every company, every industry, will have AI factories ” said by Nvidia CEO Jensen Huang. What does an “AI Factory” truly...
AI Factories: Episode 2 – Virtuous Cycle in AI Factories
“AI factory creates a virtuous cycle between user engagement, data collection, algorithm design, prediction, and improvement.” Iansiti &...
AI Factories: Episode 3 – The Components of AI Factories
In today’s digital landscape, companies are constantly exploring ways to stay competitive and foster innovation. Harvard researchers...
AI Factories: Episode 4 – Data Pipelines
A data pipeline is a structured sequence of data processing steps where data is gathered from multiple sources, cleaned, and transformed...
AI Factories: Episode 5 – Algorithm Development
Algorithm development in AI factories is a dynamic, iterative process essential to digital companies' operations. These algorithms drive...
AI & ML Projects
🌟📊📈 Developing a Cutting-Edge Analytics Dashboard: A Step-by-Step Guide
Creating an analytics dashboard that effectively tracks and displays Key Performance Indicators (KPIs) requires careful planning and...
Customer Segmentation with Cluster Analysis: A Dive into Unsupervised Learning
Summary Built K Means Clustering, Hierarchical Clustering (AgglomerativeClustering) models Performed Exploratory Data Analysis (EDA),...
Car Price Prediction Project: A Regression Approach
Summary Build Linear Regression, Ridge Regression, Lasso Regression, Elastic-Net algorithms Performed end to end Data Science steps,...
Building a Fraud Detection Model: My Journey from EDA to Deployment on AWS
Summary Built and maintained Logistic Regression, Random Forest, and Deep Neural Network models. Performed EDA, Statistical Analysis,...
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