The latest articles on DEV Community by Viktor Hamretskyi (@masterhood13). https://dev.to/masterhood13 https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F2223428%2F4702844b-f89c-4043-b3c6-e25a76a6d94b.jpg https://dev.to/masterhood13 en Viktor Hamretskyi Tue, 05 Nov 2024 10:31:57 +0000 https://dev.to/masterhood13/new-post-part-2-of-my-dota-2-match-outcome-predictor-project-is-live-50f9 https://dev.to/masterhood13/new-post-part-2-of-my-dota-2-match-outcome-predictor-project-is-live-50f9 <p>Hey Dev.to community!</p> <p>I just published the second part of my series on creating a Dota 2 Match Outcome Predictor using Python and machine learning. In this post, I take a deeper dive into the dataset by enriching it and engineering new features to boost prediction accuracy.</p> <p>🔍 What’s Covered in Part 2:<br> Dataset Enhancement: Techniques I used to add depth to the dataset and capture essential in-game factors.<br> Feature Engineering: I experimented with various features to find those that most impact prediction accuracy.<br> Challenges and Lessons Learned: Handling imbalanced data, processing complex game data, and navigating the trial and error of feature selection.<br> 📚 Tech Stack:<br> Python (Pandas, NumPy, Scikit-Learn) was essential for data processing, feature engineering, and model development. I also used custom scripts to preprocess game data and handle large datasets.</p> <p>I’d love for you to check it out if you’re interested in gaming analytics, Python, or machine learning, and I’m open to feedback! Especially interested in any tips on dataset enrichment and feature engineering for complex models.</p> <p>👉 Read it here: <a href="https://medium.com/@masterhood13/building-a-dota-2-match-outcome-predictor-part-2-enhancing-the-dataset-and-adding-new-features-3522965de468" rel="noopener noreferrer">https://medium.com/@masterhood13/building-a-dota-2-match-outcome-predictor-part-2-enhancing-the-dataset-and-adding-new-features-3522965de468</a></p> <p>Thanks for reading, and let’s connect!</p> <h1> Python #MachineLearning #DataScience #Dota2 #GamingAnalytics #DataEngineering #FeatureEngineering #DevCommunity </h1> Viktor Hamretskyi Thu, 17 Oct 2024 06:10:00 +0000 https://dev.to/masterhood13/new-article-building-a-dota-2-match-outcome-predictor-2bp5 https://dev.to/masterhood13/new-article-building-a-dota-2-match-outcome-predictor-2bp5 <p>I just shared my journey of developing a Dota 2 match predictor using data analysis and machine learning. From the initial challenges to key insights, I cover everything along the way! The extended dataset is also available on GitHub for anyone interested.</p> <p>Check it out here: <a href="https://medium.com/@masterhood13/building-a-dota-2-match-outcome-predictor-my-journey-and-learnings-fd60e1a79a23" rel="noopener noreferrer">https://medium.com/@masterhood13/building-a-dota-2-match-outcome-predictor-my-journey-and-learnings-fd60e1a79a23</a><br> GitHub repo: <a href="https://github.com/masterhood13/dota2predictor" rel="noopener noreferrer">https://github.com/masterhood13/dota2predictor</a></p> <p>Would love your feedback and suggestions!</p> ai python machinelearning programming