Mastering Multiple Linear Regression in Scikit-Learn: A Step-by-Step Guide
Ғылым және технология
Welcome to our comprehensive guide on Multiple Linear Regression! 📈 In this tutorial, we'll dive deep into the world of statistical analysis and predictive modeling using multiple linear regression. Whether you're a beginner looking to learn the fundamentals or an experienced data scientist aiming to refine your skills, this video has something for everyone
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...
Simple Linear Regression: • Hands-On Linear Regres...
Lasso Regression: • Lasso Regression with ...
Random Forest Regressor: • Random Forest Regresso...
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 KZread 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.
Пікірлер: 15
dude, this is awesome!! i've been learning machine learning to pursue a data analytics career and I've been taking some classes online, but none have gone too in depth when it comes to multiple independent variables. your coding is clean and your instructions are so thorough and precise! thanks so much for making this video!
@RyanNolanData
4 ай бұрын
Hey no problem I’m glad this helped. Best of luck in the journey
hey, man. i am from nigeria, africa. i am still in my learning phase of data science. no job, yet :) from the depth of my heart, i want to thank you for offering such immerse value. it's not easy, definitely, to churn out videos of this high quality and also, explain simply and with a high level of astuteness. your efforts and labours are not in vain. thank you once again
@RyanNolanData
3 ай бұрын
No problem best of luck with the job hunt
Your tutorials are very good, thank you!
@RyanNolanData
6 ай бұрын
I appreciate it
Hey how would you do it if the data was non linear? Meaning you’d have to use a polynomial with degree?
Hey man, quality lectures. Love them. It'd great if you could rearrange the playlist a bit so as to provide a better flow and sequence of lectures. Off-Topic but i think there are better suited hairstyles for you. Why don't you try a fade? That'd look far better imho.
@RyanNolanData
Ай бұрын
Which playlist are you looking at?
@harshitsahu5849
Ай бұрын
@@RyanNolanData Data Science Bootcamp. It is fairly well-sequenced, but could be improved for people who are new to the whole Data Science or ML bit.
Does multiple regression work when you are trying to explain a factor using other factors rather than predicting??
@RyanNolanData
8 ай бұрын
It’s used when there are multiple factors going into a prediction. Although imo not the best model
High display quality of the 'code environment V
Another great video! In following your tutorial exactly: from sklearn.linear_model import LinearRegression; lr = LinearRegression(), and then lr.fit(X_train, y_train). I am getting a "name 'ir' is not defined" error. Do you know a quick why? Thanks!
@andyhong3003
2 ай бұрын
"name 'lr' is not defined"