Ridge Regression for Beginners!

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Hello everyone and welcome to this tutorial on Machine learning Ridge Regression.

Machine Learning is a subfield of Artificial Intelligence that enables machines to improve at a given task with experience.
Machine Learning is an extremely hot topic; the demand for experienced machine learning engineers and data scientists has been steadily growing in the past 5 years.

Here’s a link to my new machine learning regression course on Udemy:

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The purpose of this course is to provide students with knowledge of key aspects of machine learning regression techniques in a practical, easy and fun way. Regression is an important machine learning technique that works by predicting a continuous (dependant) variable based on multiple other independent variables. Regression strategies are widely used for stock market predictions, real estate trend analysis, and targeted marketing campaigns.
The course provides students with practical hands-on experience in training machine learning regression models using real-world dataset. This course covers several technique in a practical manner, including:
Simple Linear Regression
Multiple Linear Regression
Polynomial Regression
Logistic Regression
Decision trees regression
Ridge Regression
Lasso Regression
Artificial Neural Networks for Regression analysis
Regression Key performance indicators
The course is targeted towards students wanting to gain a fundamental understanding of machine learning regression models. Basic knowledge of programming is recommended. However, these topics will be extensively covered during early course lectures; therefore, the course has no prerequisites, and is open to any student with basic programming knowledge. Students who enroll in this course will master machine learning regression models and can directly apply these skills to solve real world challenging problems.
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You have the skill to simplify a complex topic which can be understood by everyone. Please continue your great work. This world needs more teachers like you.

agila.p
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Clear explainantion of the Ridge() model. Very intuitive. SUBSCRIBED.

mthandenimathabelacap
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I've watched dozens of videos on regularization and your explanation is perfect! thanks!

Kmysiak
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Wow! It took me several rewinds to understand that from my professor and I got it in 3 mins with the way you explained and visualized it! Thank you!

jgianan
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the best explanation for the ridge regression I have ever listen

shroukezz
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Thank you for explaining bias and variance and not just moving forward without the explanation!!

ksh
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Great video for people like me who are beginners and don't want to go deep in the Statistics part of it but a simple explanation for data science. 🧡 from India.

HL-dwdl
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You explained it in simple way and with a short video. very effective

winniesebapu
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I loved this video. I've heard about "reducing the coefficient values" in so many other places, but you explained the 'why' behind this better than any of the others that I saw.

goodwavedata
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Wow, your explaination are too good, it's my first time seeing your video and i'm really satisfied

spider
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Very well explained, finally i got it! Many thanks.

sparrow
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The best explanation I've heard on ridge regression. Straightforward and precise! Thank you very much!

Unbiased
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Really a pristine work, in explaining the ideas behind the concept. I found it really useful for having an overview look before dealing with all the math behind. Thanks

MarcoBova
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Perfect explanation!!
You explained it in simple way and with a short video.
Thanks, keep the good work

gzuzchuy
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Very good explanation. Thank you. It gives me the idea of ridge regression.

wingyanwong
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Thank you! This is a very helpful explanation and visualization of ridge regression.

sues
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really appreciate your effort thanks for help!

SajidHussain-dtci
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Thank you for the quick and easy to understand tutorial

jeanyeager
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Thank you Sir! the great explanation made the concept seem so easy!

palaknath
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The only and first video that allowed me to understand this shit. Thanks!!

fergavilan