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Mastering ML with Sreemanti
India
เข้าร่วมเมื่อ 28 ต.ค. 2023
ML engineer and IIT Delhi B.Tech CSE graduate with a GPA of 9.744 (dept rank 3). I'm here to teach all about ML and AI and everything you need to get hired. I teach all the hardcore concepts and hands-on coding for everything. I upload new videos every week.
Want to learn about ML and AI? Subscribe and hit the bell icon to get notified when I upload new videos!
Want to learn about ML and AI? Subscribe and hit the bell icon to get notified when I upload new videos!
Master Principal Component Analysis (PCA) Step by Step
Unlock the secrets of Principal Component Analysis (PCA) in this ultimate step-by-step guide! Whether you're a beginner or preparing for a data science interview, this video has everything you need to master PCA. We dive deep into the math behind PCA, provide stunning visualizations to make concepts crystal clear, and walk you through real-world examples to solidify your understanding. Plus, we cover the top PCA interview questions to help you ace your next job interview! 🚀
What You'll Learn in This Video:
✅ What is Principal Component Analysis (PCA) and why it's important
✅ The complete mathematical derivation of PCA (Eigenvalues, Eigenvectors, Covariance Matrix)
✅ How to visualize PCA step-by-step with intuitive examples
✅ Real-world applications of PCA in machine learning and data science
✅ Common mistakes to avoid when using PCA
✅ Top PCA interview questions with detailed answers
This video is packed with clear explanations, practical examples, and pro tips to help you become a PCA expert today! Perfect for students, professionals, and anyone preparing for data science or machine learning interviews.
📌 Why Watch This Video?
Comprehensive Coverage: From theory to practical applications, we cover it all.
Easy-to-Follow Visuals: Stunning visualizations to make learning PCA fun and intuitive.
Interview-Ready: Learn the most commonly asked PCA questions and how to answer them.
🔥 Don't Miss Out!
If you're serious about mastering PCA and leveling up your data science skills, this is the only video you'll ever need. Watch now and take your understanding of PCA to the next level!
📚 Related Topics Covered:
Dimensionality Reduction
Eigenvalues and Eigenvectors
Covariance Matrix and Variance Explained
Machine Learning Preprocessing
💡 Subscribe for more in-depth tutorials on data science, machine learning, and interview prep!
👍 Like this video if you found it helpful, and share it with your friends!
🛎️ Turn on notifications so you never miss an update!
#PrincipalComponentAnalysis #PCA #DataScience #MachineLearning #InterviewPrep #DimensionalityReduction #Eigenvalues #Eigenvectors #DataVisualization
What You'll Learn in This Video:
✅ What is Principal Component Analysis (PCA) and why it's important
✅ The complete mathematical derivation of PCA (Eigenvalues, Eigenvectors, Covariance Matrix)
✅ How to visualize PCA step-by-step with intuitive examples
✅ Real-world applications of PCA in machine learning and data science
✅ Common mistakes to avoid when using PCA
✅ Top PCA interview questions with detailed answers
This video is packed with clear explanations, practical examples, and pro tips to help you become a PCA expert today! Perfect for students, professionals, and anyone preparing for data science or machine learning interviews.
📌 Why Watch This Video?
Comprehensive Coverage: From theory to practical applications, we cover it all.
Easy-to-Follow Visuals: Stunning visualizations to make learning PCA fun and intuitive.
Interview-Ready: Learn the most commonly asked PCA questions and how to answer them.
🔥 Don't Miss Out!
If you're serious about mastering PCA and leveling up your data science skills, this is the only video you'll ever need. Watch now and take your understanding of PCA to the next level!
📚 Related Topics Covered:
Dimensionality Reduction
Eigenvalues and Eigenvectors
Covariance Matrix and Variance Explained
Machine Learning Preprocessing
💡 Subscribe for more in-depth tutorials on data science, machine learning, and interview prep!
👍 Like this video if you found it helpful, and share it with your friends!
🛎️ Turn on notifications so you never miss an update!
#PrincipalComponentAnalysis #PCA #DataScience #MachineLearning #InterviewPrep #DimensionalityReduction #Eigenvalues #Eigenvectors #DataVisualization
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Mam when google STEP internship application forms begins , I didn't find its page for indian students on google career website also, please reply
Hey, which year are you in? This is open for first and second year students. I just checked the link, it's closed for this year. Again it'll open next year and you can apply then
Didi, please make a video on what technologies we need to learn order wise for ML and Ai
I've made it already - ML roadmap video you can check it here - th-cam.com/video/SU4ryn99huA/w-d-xo.htmlsi=jynWNSpTbgvJsqoe
I will make a project for youtube video comment anlysis, if possible to share link then i wll share
Sounds good
Great work Sreemanti! Hats off! 👍
Didi, this is out of context, but could you please tell me where you studied chemistry during your JEE journey?
Hey it was mostly from my local coaching institutions
that's a simple and beginner friendly project. A good stepping stone for getting started with LLMs. Hats Off to you
Eagerly waiting for the video on mnist dataset with PCA. This video was quite an intutive one to give a good "feel" of the approach. Truly appreciate your efforts Ma'am.
Thanks!
Very nice mam i learned a new thing today please keep videos on ML projects
Awesome! Keep learning!
Free trial is only for 14 days
Use different Gmail accounts!!!
Also make deployment of this project end to end quicker please ,thank you for this project
I'll add a deployment section to the video soon
yes i'm interested!
Tumi বাঙালি দিদি?
Yes
but when will start interviewing for google step its been more than a month !
One month after closing they will start interviewing
Dont you think that there will come a point when Agentic systems with reasoning capabilities will replace humans?
Nope, agents will also require humans to tune and work with. They are dangerous to be left alone
Do you think AI will lead to more layoffs?
well, you said 'AI can't replace the human' human need to monitor the AI reliability to ensure it working perfectly for that we need to do manual work right already people been there for that job before AI man force needed larger quantity after AI companies don't need that many people for monitoring AI with just few people is enough to complete the entire project also we been growing at the rate of exponentially soon we achieve AGI at the time for monitoring AI itself don't required human.
Yes that's true but it's going to take more time. We don't know the future yet but based on whatever is happening right now, I'm sure ai will need humans even in the near future
Mam, Can you please provide Mentorship? Your Guidance will be valuable 😊
Sure of course
mam suggest me where i can get Ml certificate after wrting an exam for free like how i should prove that i know ML rather than building a project but also i needcertificate
Sure, i'll suggest some certificates you can try for but do remember certificates aren't essential - you can follow everything in my roadmap of ML - th-cam.com/video/SU4ryn99huA/w-d-xo.html
Very informative
Thanks
Mam, I am not even from the cs department I am doing mining in IIT kgp. I am preparing for the GSOC . Mam am I eligible for Gosc? I am doing fronted now. What should I do?
Of course you are eligible. Build an awesome portfolio and start applying. I'll make a video on gsoc soon
Cool !! Hope it remains free
Are you doing remote or onsite?
Remote atm
I'm not fluent in English language can I apply for Google Step internship?
Of course
@sreemantidey ok thanks
Can you make a video of how we can actually stand out and get the job . Please share a particular roadmap and ehich area to master
Hey yes, it's there on my channel - ML roadmap - th-cam.com/video/SU4ryn99huA/w-d-xo.html
Duration for this course?
A few months (upto a year)
Was waiting for you to upload the lecture on SVMs and other hard margin classifiers. A good chrismtas season surprise for me! Great lect as always
Glad you found it helpful, I'll cover more complex topics in the future.
Is it possible to update the resume now to my prior application
You'll have to check it out once. Does it give you the option to update your resume?
@sreemantidey unfortunately no. And also I do have another question. I have seen some one post in LinkedIn that they have get selected as step intern for 2025. Does that mean all the hiring got over for this years step internship.
You deserves my subscribe ❤
I am working professional can I take up this? And what is the qualification criteria?
Yes you can! You can check out the website in description for the link
What about students from other fields like Aero. Is there a chance?
Of course, do a minor in cs or relevant fields if you can. That'll boost your chances
I'm passing out in 2026 am i eligible for this ?
Next year you'll be eligible. You can try applying now too
@@sreemantidey thankyou
do we need to be a master in dsa ?what should we know and how much should we know dsa for applying for the interview process
Yes DSA is very important. You can start with th-cam.com/video/fnurAtX0LHk/w-d-xo.htmlsi=cvkrVuMvLw3k6Ar1 if you want
Good 😊
What i hv to master to crack step intern
Check this out - th-cam.com/video/6Fc6iUpaHTk/w-d-xo.html
Yes i also want to crack this
I applied still waiting for response from google how much time will they take to response
They will respond within 2 months
@sreemantidey can u share ur linkdin profile wanna connect with you for guiadnce
hey it's in my description
what are the prerequisites?
th-cam.com/video/SU4ryn99huA/w-d-xo.html - Check out ML roadmap
Can you help us to start contributing to open source projects
Sure will make soon
1st comment ❤
what is the salary.....?
It's pretty good, I cannot reveal the exact amount due to NDA but I can promise it's very high!
@@sreemantidey thanks for the reply
Nice Video!
Thanks!
Link to apply?
In description
www.google.com/about/careers/applications/jobs/results/88049277334364870-predoctoral-researcher-university-graduate-2025-starts-fixedterm-contract
COuld Your plz provide the iitD notes of ML and DL? It wuld be very helpful
It's actually very haphazard since I took them in haste but I teach everything from scratch in the playlist th-cam.com/play/PL49M3zg4eCviDbR_LvqnZm_IgNzB_fw29.html&si=JIJ05ANx3EYnT4aP
Thanks di , for making a video on this topic The same thing I asked you in the Linkedin remember ?? Thanks a lot
Yeah, I remember! More to come! Please share!
Hey try using pen tab or tab it will be super easy for you:to do
Okay let me try. Tablets are very expensive so I have not tried that yet
Very Useful and Informative as a Beginner to explore . Loved the way you teach with the chalk n board which somehow helps to stay more concentrated and helps to understand even more better Keep Rocking 👍👍
Thanks! Chalkboard teaching is the best!
Could u outline the essential topics in linear algebra,calculus,statistics that a beginner in ml should learn
Yes, sure, will do soon!
Thanks for the video.. Can you share some projects that can be added to the resume. And by the which year students are eligible for these internships.
Sure, very cool projects are coming soon on my channel, stay tuned!!
Hey graduates of all kinds are eligible
Hey can u share ur github profile for projects
Sure, I'll share and I'll also make some cool projects and upload on my channel. Stay tuned!!
@ yeah sounds cool