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Priyanshu Vats
India
Приєднався 13 кві 2020
I'm a Data Scientist and I want to teach so this is the result..
Polynomial Regression ! All you need to know
Linear models are simple and convenient but real-world processes are rarely simple. Real-world scenarios tend to be complex and non-linear.
In this video, we will discuss how can moving from a linear to a non-linear model can greatly improve the performance.
We use a technique called #Polynomial_Regression to fit a #Non_linear model to the #housing_price problem.
We dive deep to understand when can non-linearity lead to #overfitting.
Here is the link to my previous video on #Linear_Regression, #Cost_Function, and #Gradient_Descent_Algorithm.
ua-cam.com/video/erfeZg27B7A/v-deo.html
In this video, we will discuss how can moving from a linear to a non-linear model can greatly improve the performance.
We use a technique called #Polynomial_Regression to fit a #Non_linear model to the #housing_price problem.
We dive deep to understand when can non-linearity lead to #overfitting.
Here is the link to my previous video on #Linear_Regression, #Cost_Function, and #Gradient_Descent_Algorithm.
ua-cam.com/video/erfeZg27B7A/v-deo.html
Переглядів: 11 668
Відео
Feature Scaling (How it really works?) Explained !!
Переглядів 13 тис.4 роки тому
It is a fairly common suggestion to scale the features before training any #ML model. In this video, we will understand through examples how #feature_scaling can improve the Performance of certain models while it can have minimal or no effect on others. We will also see how Scaling features can make #Gradient_Descent Faster and efficient.
Linear Regression, Cost Function and Gradient Descent Algorithm..Clearly Explained !!
Переглядів 75 тис.4 роки тому
Hi Everyone! I apologies for the high music volume. Unfortunately there is no way for me to edit this video currently on YT studio without deleting and reuploading it! I'll make sure the volume is suitable in all the new uploads. Thanks :) Linear Regression is a simple yet effective #ML model to predict Continuous Target Variable like Price of a house from its size. This Video clearly explains ...
Machine Learning Models ! Supervised & Unsupervised Learning ! Clearly Explained !!
Переглядів 4494 роки тому
This is the 2nd video in the Introduction to Machine Learning series. In this, we have clearly explained different types of #machine #learning problems. These mainly belong in two subcategories of machine learning #Supervised & #Unsupervised Learning. Let's understand with an example suppose if we have data of the size and price of the house then using that data we can predict the selling price...
How do Machines Learn? Introduction to Machine Learning
Переглядів 4664 роки тому
This is an introductory video for a lecture series on Machine Learning. Machine Learning is now prevalent in almost all the industries and tech companies are constantly looking for talents in this domain. Have you ever thought about how #UA-cam recommends videos to you? Let's learn all that and more in this series on Machine learning. #MachineLearning #DataScience #AI
Never ever put music in the background of a scientific video
good explanation, but the music volume is higher than your voice, please adjust that in your next video.
Excellent. background music pls keep low.
Please upload more videos
Thank you, you explained it so simple!
stop the music
Awesome explanation ! Earned a subscriber !
start making more videos it is very useful..!!!!
If its high level explanation of concepts, then Video is good, but sorry to say that its very difficult to understand for the guy who has started learning from basic. Most of the concept are direct consideration without explanation of how those equations came
Why did you stopped making videos? Let me tell you, you explained linear regression very easily without making it complex with maths that too in 9 minutes.
Why did you stop making videos :(
Best explanation😊
Amazing informative video!
Why did u stop uploading more videos sir!
plz remove background music
remove the music man or atleast reduce it
"I will be posting regularly" ... says the guys with 6 videos in the playlist.
can you please ask to stop the music till you are teaching. I don't know why people disturb others when they are studying or teaching.
background sound is loud compare to your voice .....i think u need to know thisss
Nice content
Great explanation !
unnecessary background music
why music?
Thank you man. It was great explanation
I love this video 🔥
Can you not add music to your video? It is so disturbing!!
informative but music is louder than your voice which is annoying
Nice Explanation. Reducing the song at the background would have made this an even better video
Which is this soundtrack, have heard it earlier. Bohot acha hai
I wish if there were other nextcoming videos on your playlist :( where are you now man?
Hi Priyanshu, why you are not adding more videos? You explain so well 👍
Thank you so much for your explanation... Requesting you to do more videos sir😊
Please make more videoss. U explanations are so clear and concise
Thanks
a clear description of the topic.. thanks and blessings!!!
Thank you
Great Explanation, thanks for your time (:
Really great video - thanks
who told you it'd be a good idea to add the music in the background bro...
I have a question: when scaling the features, how do we know that what we will get is equivalent to the initial layout of data? Also, when doing this in the gradient descent contex, how do we know that the global minimum will be the same?
YOU ARE SUPER
Please stop the music
i really like the way you teach so make more videos on machine learning content '
Thank you sooo much! I finally understand this topic!
0:31 can someone please clarify one thing? If there is more than one feature, isn't it called multiple linear regression?
we ca't hear bc of music
hi, Can you make a video explaining the Neural Network with examples, Thank You
Thanks for the explanation. I have a doubt why 1/2m is used for cost function .I didn't get why it was divided by half
I can barely understand you indians
Please stop the background music it's disturbing