In this comprehensive tutorial, we'll dive into the world of machine learning with Python using the powerful Scikit-Learn library. You'll learn how to build a Random Forest Regressor model step-by-step, gaining the skills to predict real-world data accurately
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: ryannolandata.com/
🍿 WATCH NEXT
Scikit-Learn and Machine Learning Playlist: • Scikit-Learn Tutorials...
Elastic Net Regressor: • Elastic Net Regression...
Stacking Regressor: • Python Stacking Regres...
Kaggle House Regression Project: • Data Science Beginner ...
MY OTHER SOCIALS:
👨💻 LinkedIn: / ryan-p-nolan
🐦 Twitter: / ryannolan_
⚙️ GitHub: github.com/RyanNolanData
🖥️ Discord: / discord
📚 *Practice SQL & Python Interview Questions: stratascratch.com/?via=ryan
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 RU-vid 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.
23 окт 2023
