🔴 To learn Data Analytics Course online with regular LIVE CLASSES, enroll now: www.wscubetech.com/landing-pages/online-data-analytics-course.html?RUclips&April2024_12&RV
First thank you for this course of Machine learning this course help to improve our skill on AI... please make a course for deep learning and please upload the second part of Machine learning...I will never forget the gratitude of your company.👍👍👍
I literally have no words to express my fellings for this amazing teacher.What a gem,his clearity ,his way of communicating his ideas and his teaching methodologies.Just wow. Love from Pakistan.
01:04 Introduction to Machine Learning 38:29 Regression Analysis in Machine Learning 1:50:34 Introduction to machine learning concepts 3:31:57 Introduction to Machine Learning 5:12:20 Introduction to Machine Learning Basics 7:47:15 Introduction to Machine Learning 8:49:48 Understanding Linear Regression in Machine Learning 9:26:40 Introduction to Machine Learning
Thank you, Gaurav Prajapati sir, and thank you, WsCubeTech. May God bestow many blessings upon you and your institute. Your content-rich resources are greatly appreciated. May you continue offering such valuable tutorials for those of us who can't afford expensive courses.
very knowlwdgeable content.... one of the most useful video in machine learning in youtube...though I havent completed the video, I want a part 2 please!!
Thank you sharing the detail. I have watched entire first part. I must say I have learned a lot from this course. Your teaching style and explaining the concept makes you different. I will awaiting for the second part. I am already doing masters in data science from great learning in data science analytics and ML. But still your videos and lecture are in depth. I would like to connect with you on LinkedIn. I will forward this link to my group as well so that they can be benefited as well. Hats off Karan. 🙂
00:00:00 - ML Course Introduction 00:01:03 - What is Machine learning (ML) 00:17:19 - Complete Roadmap To Learn Machine Learning 00:26:16 - Types of Variables in Machine Learning 00:38:24 - Data Cleaning in Machine Learning 00:45:15 - What is missing value and how to find it 01:05:50 - Handling Missing Values (Dropping) 01:15:48 - Handling Missing Values (Imputing category data) 01:27:24 - Handling Missing Values (Scikit-Learn) 01:34:40 - One Hot Encoding & Dummy Variables 01:49:43 - What is Label Encoding? 01:58:16 - What is Ordinal Encoding? 02:12:02 - What is an Outlier and How to Handle It? 02:24:42 - How to Remove Outliers using IQR? 02:37:19 - How to Remove Outliers using Z Score? 02:56:18 - What is Feature Scaling (Standardization)? 03:16:32 - What is Feature Scaling (Normalization)? 03:27:06 - How to Handle Duplicate Data? 03:38:39 - How to Replace and Change Data Types? 03:47:28 - Function Transformer 04:05:17 - Backward Elimination (using MLxtend) & Forward Elimination (using MLxtend) 04:20:26 - Train Test Split in Data Set 04:31:19 - Regression Analysis 04:35:55 - Linear Regression Algorithm (Simple Linear) 04:47:19 - Linear Regression Algorithm (Simple Linear) Practical 05:13:39 - Multiple Linear Regression 05:34:46 - Polynomial Regression 05:55:33 - What is a cost function? 06:02:35 - Regression Cost Function - R Squared score & Adjusted R Squared Regression Analysis 06:18:18 - How to find a Best fit line? 06:32:38 - L1 (Lasso Regularization), L2 (Ridge Regularization) Theory 06:44:32 - L1 (Lasso Regularization), L2 (Ridge Regularization) Practical 07:06:32 - Classification 07:19:42 - Logistic Regression (practical) (Binary Classification) 07:40:51 - Logistic Regression (practical) (Binary Classification) (Multiple input) 07:53:57 - Logistic Regression (practical) (Binary Classification) (Polynomial input) 08:07:23 - Logistic Regression (practical) (Multiclass Classification) 08:23:31 - Confusion Matrix 08:46:47 - Confusion Matrix (Sensitivity, Precision, Recall, F1 - Score) 09:11:16 - Imbalanced dataset 09:40:15 - Naive Bayes 10:02:32 - Naive Bayes (practical)
The lecture was very very helpful to start with basics. Few things that can be improved are taking dataset that have already been use to explain properly, grammatical errors in slides, soft skills while explaining, better editing....sometimes it feels like there is lack of efforts. But overall it is very helpful to get a brief of algorithms. Thank you :)
Truuu it’s the problem in all of there videos lack of editing , they don’t even see or go through what they have created .. I have gone through complete data analyst video 29 hour that editing was horrible and they don’t care
🔴 To learn Data Analytics Course online with regular LIVE CLASSES, enroll now: www.wscubetech.com/landing-pages/online-data-analytics-course.html?RUclips&April2024_12&RV
hello sir, it hits 100k views now when will the next part come
sir provide salary dataset for multiple regration
How do we get the CSV the file
provide the Loan.csv file please
Sir,
Please add free certificates with these courses
Vote for part 2 also👇
Phele part 1 dekh toh Lo😅😅
@@Faizan0601😂😂😂😂😂
@@Faizan0601 bro is watching in 100x speed
One vote 😂
Guys, If the video hits 100k views & 1k comments, the next part 2 goes publish.
I Love WS Cube Tech ❤ ❤
Sir, Thank You So much for this beautiful Machine Learning Video ❤
Can anyone tell me Prerequisites for this course
@@Faizan0601 NO
Python and its libraries along with some basic maths
Very well organized topics
Love from Pakistan, nankana sahib❤❤❤❤
First thank you for this course of Machine learning this course help to improve our skill on AI... please make a course for deep learning and please upload the second part of Machine learning...I will never forget the gratitude of your company.👍👍👍
Yes
Thanks sir for Providing free Machine Learning Course
I literally have no words to express my fellings for this amazing teacher.What a gem,his clearity ,his way of communicating his ideas and his teaching methodologies.Just wow. Love from Pakistan.
Thanks a lot to deliver a quality content free of cost
Glad you think so!
01:04 Introduction to Machine Learning
38:29 Regression Analysis in Machine Learning
1:50:34 Introduction to machine learning concepts
3:31:57 Introduction to Machine Learning
5:12:20 Introduction to Machine Learning Basics
7:47:15 Introduction to Machine Learning
8:49:48 Understanding Linear Regression in Machine Learning
9:26:40 Introduction to Machine Learning
What are the prerequisite for this course can anyone with a beginner join this course
can we get the dataset (load dataset) that the sir was using
Can we get the notes?
Before this course how many languages to be learnt ?
@@afzalqureshi8091 please be familiar with python and numpy, if required any you can learn it side by side.
Thank you, Gaurav Prajapati sir, and thank you, WsCubeTech. May God bestow many blessings upon you and your institute. Your content-rich resources are greatly appreciated. May you continue offering such valuable tutorials for those of us who can't afford expensive courses.
Gaurav sir aap se maine bahut kuchh sikha h aapke samjhane ka trika awesome h .
Aap mere liye best teacher ho❤❤❤❤
Can anyone tell me Prerequisites for this course
Python and its libraries like numpy pandas matplotlib Scikitlearn and seaborn
very knowlwdgeable content.... one of the most useful video in machine learning in youtube...though I havent completed the video, I want a part 2 please!!
Thank you, we want part 2
Thank you so much ❤
Thank you
Thanks!
he has explain theory only ya code bhi kar va ya he
Thank you sharing the detail. I have watched entire first part. I must say I have learned a lot from this course. Your teaching style and explaining the concept makes you different. I will awaiting for the second part. I am already doing masters in data science from great learning in data science analytics and ML. But still your videos and lecture are in depth. I would like to connect with you on LinkedIn. I will forward this link to my group as well so that they can be benefited as well. Hats off Karan. 🙂
Hey what's up how great learning
@@satz8783 It is good but expensive.
Well lecture 🎉🎉
Thanks for sharing❤ Love from Pakistan
Thanks sir
Loved your explanation. Eagerly waiting for part 2
Thank you for sharing this playlist...plz upload 2 nd part ❤
Guys, If the video hits 100k views & 1k comments, the next part 2 goes publish.
Sir i respect your hard work!
Can you share this slides with us?
Please!!
Amazing Explanation!
Great video thanks!
Really your work appreciated sir confusion matrix superb explain ed
I have literally no words, it was just a awesome playlist for a beginner and yea definitely we want part 2........❤❤❤
Thank you for this .... Waiting for 2nd part
Coming soon!
Thank you waiting for part 2
Guys, If the video hits 100k views & 1k comments, the next part 2 goes publish.
@@wscubetech sir apki franchise itne ache hai. To ye to jldi hi ho jayega.
@@wscubetech sir apne numpy and pandas bhut acha pdhaya hai.
Jldi se all parts launch kr dijiye pls machine learning ke
Great
Thank you for this wonderful course.
Amazing Video!!!! We want more videos like this. Your Channel is my Fav.
Amazing
can you please upload the loan.csv file in description? it would be very helpful to follow along with your video when we have same dataset.
check out ml by siddharan
Bhai amazing video....waiting for part 2. Great explanation
Coming soon
Very helpful video...❤
Great Knowledge hai bahi aacha sumjhaya
Thank you so much for sharing this awesome playlist...waiting for the 2nd part ❤
Guys! Thankyou very much for giving us the best knowledge possible about tech. Keep up the good work. We're grateful 🙏🙏🙏🙏
Thanks for watching!
Thank you❤❤❤
thanku so much sir
Can anyone tell me Prerequisites for this course
best teacher
Vote for Part 2
Guys, If the video hits 100k views & 1k comments, the next part 2 goes publish.
@@wscubetech
Guys have done their job,
Now we want part-2 of machine learning soon
Okk
Music ki awaz itni zyada h jo bola ja rha h woh sunna mushkil horha hy..
Amazing Explanation...!🙌
part 2 plz
Stay connected!
Great teacher
Thank you sir
Learned a lot from you
Great teaching style,uses simple method of teaching
00:00:00 - ML Course Introduction
00:01:03 - What is Machine learning (ML)
00:17:19 - Complete Roadmap To Learn Machine Learning
00:26:16 - Types of Variables in Machine Learning
00:38:24 - Data Cleaning in Machine Learning
00:45:15 - What is missing value and how to find it
01:05:50 - Handling Missing Values (Dropping)
01:15:48 - Handling Missing Values (Imputing category data)
01:27:24 - Handling Missing Values (Scikit-Learn)
01:34:40 - One Hot Encoding & Dummy Variables
01:49:43 - What is Label Encoding?
01:58:16 - What is Ordinal Encoding?
02:12:02 - What is an Outlier and How to Handle It?
02:24:42 - How to Remove Outliers using IQR?
02:37:19 - How to Remove Outliers using Z Score?
02:56:18 - What is Feature Scaling (Standardization)?
03:16:32 - What is Feature Scaling (Normalization)?
03:27:06 - How to Handle Duplicate Data?
03:38:39 - How to Replace and Change Data Types?
03:47:28 - Function Transformer
04:05:17 - Backward Elimination (using MLxtend) & Forward Elimination (using MLxtend)
04:20:26 - Train Test Split in Data Set
04:31:19 - Regression Analysis
04:35:55 - Linear Regression Algorithm (Simple Linear)
04:47:19 - Linear Regression Algorithm (Simple Linear) Practical
05:13:39 - Multiple Linear Regression
05:34:46 - Polynomial Regression
05:55:33 - What is a cost function?
06:02:35 - Regression Cost Function - R Squared score & Adjusted R Squared Regression Analysis
06:18:18 - How to find a Best fit line?
06:32:38 - L1 (Lasso Regularization), L2 (Ridge Regularization) Theory
06:44:32 - L1 (Lasso Regularization), L2 (Ridge Regularization) Practical
07:06:32 - Classification
07:19:42 - Logistic Regression (practical) (Binary Classification)
07:40:51 - Logistic Regression (practical) (Binary Classification) (Multiple input)
07:53:57 - Logistic Regression (practical) (Binary Classification) (Polynomial input)
08:07:23 - Logistic Regression (practical) (Multiclass Classification)
08:23:31 - Confusion Matrix
08:46:47 - Confusion Matrix (Sensitivity, Precision, Recall, F1 - Score)
09:11:16 - Imbalanced dataset
09:40:15 - Naive Bayes
10:02:32 - Naive Bayes (practical)
thanks Dude
Great.
Waiting for part 2
It's 1 lakh Views already where is the part 2
Well Explained....
Sometimes background music irritating .....
Exactly
yeh comment padrone ke baad irritate hua🤥😂
@@paraskulkarni3668 very true😂😂
Tqx sir ...❤🙏🙏💖💖
Hii Sir,
Please add free certificates with these courses
Please provide us next part. As well.....thanks 🙏 wscubetec 💯💯
Sir part 2 kb ayega
Amazing course. Everything is explained so well. Kindly keep the volume of background music a bit low.
part 2 का इंतेज़ार है।
Guys, If the video hits 100k views & 1k comments, the next part 2 goes publish.
@@wscubetech where is part 2
This Is Very Help for My New Journey
ThankYou @WsCubeTech ❤❤
Very good explanation..good efforts 💯👍👏
Who want deep learning tutorial like. Here
I want to learn
Jo Jo mujhe chahiye wo sb ws cube tech free of cost available krwata h💗 thankyou 💓
part 2 evryone like this comments for part 2🥰🥰🥰🥰🥰🥰😊
Guys, If the video hits 100k views & 1k comments, the next part 2 goes publish.
Part 2 😢😢😢😢😢
Thanks
Vote for making video on 'How to make ai chatbot development without coding" 🎉😂❤
Great video
Sir please post part 2 as well.
Good efforts 💯👏
Really helpful
best resource for ml on entire youtube
Thanks for part 1
amazing lecture!!
Thank u sir..🎉
Nice video
Thanks i am weting this course a long time
Keep learning!
Yes
Super 💯
Part 2 machine learning please upload 🙏
The lecture was very very helpful to start with basics. Few things that can be improved are taking dataset that have already been use to explain properly, grammatical errors in slides, soft skills while explaining, better editing....sometimes it feels like there is lack of efforts. But overall it is very helpful to get a brief of algorithms. Thank you :)
Truuu it’s the problem in all of there videos lack of editing , they don’t even see or go through what they have created .. I have gone through complete data analyst video 29 hour that editing was horrible and they don’t care
thank yu
Very helpful ☺️
no doubt the course is well explained and very informative but you should off the background music to avoid disturbances, just a suggestion
very very thanks sir
Let's complete it.❤
Best course about machine learning I am waiting for part 2❤❤
Coming soon
Thank vai.. love from Bangladesh ❤
Amazing video of ml
part 2 needed
Part 2 please more much need
Sir please upload part 2 as well. We need it..
Please make video on Generating AI and Deep learning for data science
Please bring part 2
Nice
Very good information sir ji i love 💕💕💕💕💕 you sir ji
PART 2 PLEASE!!!!!!
Sir part 2 please ❤❤❤❤
yess sir we need 2nd part
Thanku sir 🙏
In simple linear regression chapter why for predicting x is used instead of xtest and in score also x test and y test are used