<?xml version="1.0" encoding="UTF-8"?><rss xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:atom="http://www.w3.org/2005/Atom" version="2.0"><channel><title><![CDATA[Hands-on Mentor]]></title><description><![CDATA[Hands-on Mentor is a Finland-based education company offering live, project-based data training and career coaching in small, interactive groups.]]></description><link>https://www.canarslan.co/blog</link><generator>RSS for Node</generator><lastBuildDate>Sat, 05 Sep 2026 22:53:51 GMT</lastBuildDate><atom:link href="https://www.canarslan.co/blog-feed.xml" rel="self" type="application/rss+xml"/><item><title><![CDATA[Mastering Logistic Regression in Data Science]]></title><description><![CDATA[Mastering Logistic Regression in Data Science]]></description><link>https://www.canarslan.co/post/mastering-logistic-regression-in-data-science</link><guid isPermaLink="false">669a1cca15ecd29e87e27c04</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 17:00:29 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Understanding Dimensionality in Data: Techniques for Reduction, Selection, and Extraction]]></title><description><![CDATA[Understanding Dimensionality in Data: Techniques for Reduction, Selection, and Extraction]]></description><link>https://www.canarslan.co/post/understanding-dimensionality-in-data-techniques-for-reduction-selection-and-extraction</link><guid isPermaLink="false">669a1cca15ecd29e87e27c05</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 17:00:14 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Introduction to Time Series and Machine Learning: Unleashing the Power of Predictive Analysis]]></title><description><![CDATA[Introduction to Time Series and Machine Learning: Unleashing the Power of Predictive Analysis]]></description><link>https://www.canarslan.co/post/introduction-to-time-series-and-machine-learning-unleashing-the-power-of-predictive-analysis</link><guid isPermaLink="false">669a1cca15ecd29e87e27c06</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 17:00:00 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Understanding and Handling Missing Values in Data Analysis]]></title><description><![CDATA[Understanding Missing Values 1. Introduction to Missing Values Data is often considered the backbone of many systems today. But what happens when it's incomplete? Missing values in data sets are like puzzles with missing pieces. They can impede the analytics and prediction capabilities of data-driven models. Here, we'll dissect what missing values are and why they matter. Definition and Types of Data Data can be categorized into different types like continuous, categorical, binary, and...]]></description><link>https://www.canarslan.co/post/understanding-and-handling-missing-values-in-data-analysis</link><guid isPermaLink="false">669a1cca15ecd29e87e27c07</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:59:46 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Mastering Data Distributions: A Practical Guide to Understanding, Analyzing, and Transforming Data]]></title><description><![CDATA[Mastering Data Distributions: A Practical Guide to Understanding, Analyzing, and Transforming Data]]></description><link>https://www.canarslan.co/post/mastering-data-distributions-a-practical-guide-to-understanding-analyzing-and-transforming-data</link><guid isPermaLink="false">669a1cca15ecd29e87e27c08</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:59:32 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Comprehensive Guide to Data Preprocessing in Python]]></title><description><![CDATA[Comprehensive Guide to Data Preprocessing in Python]]></description><link>https://www.canarslan.co/post/comprehensive-guide-to-data-preprocessing-in-python</link><guid isPermaLink="false">669a1cca15ecd29e87e27c2e</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:59:18 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Understanding and Working with Databases: A Comprehensive Guide]]></title><description><![CDATA[Understanding and Working with Databases: A Comprehensive Guide]]></description><link>https://www.canarslan.co/post/understanding-and-working-with-databases-a-comprehensive-guide</link><guid isPermaLink="false">669a1cca15ecd29e87e27c37</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:59:05 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Understanding Support Vector Machines (SVMs): A Comprehensive Guide]]></title><description><![CDATA[Understanding Support Vector Machines (SVMs): A Comprehensive Guide]]></description><link>https://www.canarslan.co/post/understanding-support-vector-machines-svms-a-comprehensive-guide</link><guid isPermaLink="false">669a1cca15ecd29e87e27c80</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:58:37 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[A Comprehensive Guide to Building Pipelines with Scikit-learn and XGBoost]]></title><description><![CDATA[A Comprehensive Guide to Building Pipelines with Scikit-learn and XGBoost]]></description><link>https://www.canarslan.co/post/a-comprehensive-guide-to-building-pipelines-with-scikit-learn-and-xgboost</link><guid isPermaLink="false">669a1cca15ecd29e87e27c5a</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:58:10 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Hierarchical Clustering in Python: A Comprehensive Guide]]></title><description><![CDATA[Hierarchical Clustering in Python: A Comprehensive Guide]]></description><link>https://www.canarslan.co/post/hierarchical-clustering-in-python-a-comprehensive-guide</link><guid isPermaLink="false">669a1cca15ecd29e87e27c81</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:57:51 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Understanding and Implementing K-Means Clustering: A Comprehensive Guide]]></title><description><![CDATA[Understanding and Implementing K-Means Clustering: A Comprehensive Guide]]></description><link>https://www.canarslan.co/post/understanding-and-implementing-k-means-clustering-a-comprehensive-guide</link><guid isPermaLink="false">669a1cca15ecd29e87e27c82</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:57:38 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Understanding Dimensionality in Data Science]]></title><description><![CDATA[Understanding Dimensionality in Data Science]]></description><link>https://www.canarslan.co/post/understanding-dimensionality-in-data-science</link><guid isPermaLink="false">669a1cca15ecd29e87e27c83</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:57:22 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Understanding and Building Training, Testing, and Validation Datasets in Machine Learning]]></title><description><![CDATA[Understanding and Building Training, Testing, and Validation Datasets in Machine Learning]]></description><link>https://www.canarslan.co/post/understanding-and-building-training-testing-and-validation-datasets-in-machine-learning</link><guid isPermaLink="false">669a1cca15ecd29e87e27c84</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:57:07 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Introduction to Non-negative Matrix Factorization (NMF)]]></title><description><![CDATA[Introduction to Non-negative Matrix Factorization (NMF)]]></description><link>https://www.canarslan.co/post/introduction-to-non-negative-matrix-factorization-nmf</link><guid isPermaLink="false">669a1cca15ecd29e87e27ca7</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:56:53 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Data Analysis with Time Series: A Practical Guide to Predictive Modeling]]></title><description><![CDATA[Data Analysis with Time Series: A Practical Guide to Predictive Modeling]]></description><link>https://www.canarslan.co/post/data-analysis-with-time-series-a-practical-guide-to-predictive-modeling</link><guid isPermaLink="false">669a1cca15ecd29e87e27ca9</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:56:40 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[A Comprehensive Guide to Feature Selection and Dimensionality Reduction in Python]]></title><description><![CDATA[A Comprehensive Guide to Feature Selection and Dimensionality Reduction in Python]]></description><link>https://www.canarslan.co/post/a-comprehensive-guide-to-feature-selection-and-dimensionality-reduction-in-python</link><guid isPermaLink="false">669a1cca15ecd29e87e27ca8</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:56:25 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[A Comprehensive Guide to Time Series Analysis with Python]]></title><description><![CDATA[A Comprehensive Guide to Time Series Analysis with Python]]></description><link>https://www.canarslan.co/post/a-comprehensive-guide-to-time-series-analysis-with-python</link><guid isPermaLink="false">669a1cca15ecd29e87e27caa</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:56:12 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Validation and Cross-Validation Techniques in Machine Learning]]></title><description><![CDATA[Validation and Cross-Validation Techniques in Machine Learning]]></description><link>https://www.canarslan.co/post/validation-and-cross-validation-techniques-in-machine-learning</link><guid isPermaLink="false">669a1cca15ecd29e87e27cab</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:55:58 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[Hyperparameter Tuning in Machine Learning: A Comprehensive Guide]]></title><description><![CDATA[Hyperparameter Tuning in Machine Learning: A Comprehensive Guide]]></description><link>https://www.canarslan.co/post/hyperparameter-tuning-in-machine-learning-a-comprehensive-guide</link><guid isPermaLink="false">669a1cca15ecd29e87e27cac</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:55:43 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item><item><title><![CDATA[A Comprehensive Guide to Logistic Regression and Support Vector Machines in Python]]></title><description><![CDATA[A Comprehensive Guide to Logistic Regression and Support Vector Machines in Python]]></description><link>https://www.canarslan.co/post/a-comprehensive-guide-to-logistic-regression-and-support-vector-machines-in-python</link><guid isPermaLink="false">669a1cca15ecd29e87e27c30</guid><category><![CDATA[Diğer]]></category><pubDate>Fri, 02 Aug 2024 16:54:43 GMT</pubDate><enclosure url="https://static.wixstatic.com/media/976076_e9951b5ace874f1f9c8f802fb74f1a08~mv2.png/v1/fit/w_500,h_500,al_c,q_80/file.png" length="0" type="image/png"/><dc:creator>Can Arslan</dc:creator></item></channel></rss>