Welcome to our latest data science project! In this exciting YouTube tutorial, we'll dive into the world of advanced regression analysis using Kaggle's House Prices dataset. When working on the project, the code was able to achieve a top 10% score!
Kaggle Notebook: [ Ссылка ]
Interested in discussing a Data or AI project? Feel free to reach out via email or simply complete the contact form on my website.
📧 Email: ryannolandata@gmail.com
🌐 Website & Blog: [ Ссылка ]
🍿 WATCH NEXT
Scikit-Learn and Machine Learning Playlist: [ Ссылка ]
Optuna Hyperparameter Tuning: [ Ссылка ]
Titanic Data Science Project: [ Ссылка ]
Stacking Regressor: [ Ссылка ]
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📚 *Practice SQL & Python Interview Questions: [ Ссылка ]
WHO AM I?
As a full-time data analyst/scientist at a fintech company specializing in combating fraud within underwriting and risk, I've transitioned from my background in Electrical Engineering to pursue my true passion: data. In this dynamic field, I've discovered a profound interest in leveraging data analytics to address complex challenges in the financial sector.
This YouTube channel serves as both a platform for sharing knowledge and a personal journey of continuous learning. With a commitment to growth, I aim to expand my skill set by publishing 2 to 3 new videos each week, delving into various aspects of data analytics/science and Artificial Intelligence. Join me on this exciting journey as we explore the endless possibilities of data together.
*This is an affiliate program. I may receive a small portion of the final sale at no extra cost to you.
