PCA In Machine Learning | Principal Component Analysis | Machine Learning Tutorial | Simplilearn

Подписаться 4,3 млн

Просмотров 55 тыс.

50% 1

🔥AI Engineer Masters Program (Discount Code - YTBE15): www.simplilearn.com/masters-i...
🔥 Purdue Post Graduate Program In AI And Machine Learning: www.simplilearn.com/pgp-ai-ma...
🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): www.simplilearn.com/iitk-prof...
🔥AI Engineer Masters Program (Discount Code - YTBE15): www.simplilearn.com/masters-i...
🔥AI & Machine Learning Bootcamp(US Only): www.simplilearn.com/ai-machin...
Principal Component Analysis is a crucial technique used in machine learning. This video on Principal Component Analysis in Machine Learning will help you learn the basics of PCA and how it helps to reduce the dimensionality of a dataset. You will understand the essential terminologies and properties of PCA. You will look at an example on PCA and perform a demo using Python.
✅Subscribe to our Channel to learn more about the top Technologies: bit.ly/2VT4WtH
⏩ Check out the Machine Learning tutorial videos: bit.ly/3fFR4f4
#PCAInMachineLearning #PricipalComponentAnalysis #PricipalComponentAnalysisExplained #PCAMachineLearning #PCAAnalysis #MachineLearning #SimplilearnMachineLearning #MachineLearningCourse
To learn more about this topic, visit: www.simplilearn.com/tutorials...
🔥Free Machine Learning Course: www.simplilearn.com/learn-mac...
➡️ About Post Graduate Program In AI And Machine Learning
This AI ML course is designed to enhance your career in AI and ML by demystifying concepts like machine learning, deep learning, NLP, computer vision, reinforcement learning, and more. You'll also have access to 4 live sessions, led by industry experts, covering the latest advancements in AI such as generative modeling, ChatGPT, OpenAI, and chatbots.
✅ Key Features
- Post Graduate Program certificate and Alumni Association membership
- Exclusive hackathons and Ask me Anything sessions by IBM
- 3 Capstones and 25+ Projects with industry data sets from Twitter, Uber, Mercedes Benz, and many more
- Master Classes delivered by Purdue faculty and IBM experts
- Simplilearn's JobAssist helps you get noticed by top hiring companies
- Gain access to 4 live online sessions on latest AI trends such as ChatGPT, generative AI, explainable AI, and more
- Learn about the applications of ChatGPT, OpenAI, Dall-E, Midjourney & other prominent tools
✅ Skills Covered
- ChatGPT
- Generative AI
- Explainable AI
- Generative Modeling
- Statistics
- Python
- Supervised Learning
- Unsupervised Learning
- NLP
- Neural Networks
- Computer Vision
- And Many More…
👉 Learn More At: 🔥 Purdue Post Graduate Program In AI And Machine Learning: www.simplilearn.com/pgp-ai-ma...
🔥Professional Certificate Course In AI And Machine Learning by IIT Kanpur (India Only): www.simplilearn.com/iitk-prof...
🔥AI Engineer Masters Program (Discount Code - YTBE15): www.simplilearn.com/masters-i...
🔥AI & Machine Learning Bootcamp(US Only): www.simplilearn.com/ai-machin...
🔥🔥 Interested in Attending Live Classes? Call Us: IN - 18002127688 / US - +18445327688

Опубликовано:

5 авг 2024

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист

Посмотреть позже

Комментарии : 32

@SimplilearnOfficial 3 года назад

Got a Question on this topic? Let us know in the comment section below 👇 and we'll have our experts answer it for you. To learn more about Machine Learning, visit: bit.ly/3b4fcop

@veronicanwabufo5905 2 года назад

What happens after applying PCA in ML production? If you want to predict just one data point, how do you go about this since the dimension of the data has reduced after applying PCA?

@sadiazaman7903 Год назад

Thank you for such a wonderful explanation. Very easy, Straight forward, and TTP.

@SimplilearnOfficial Год назад

Keep learning with us .Stay connected with our channel and team :) . Do subscribe the channel for more updates : )

@MrMadmaggot 2 года назад

26:13 so x_pca[:,0] and x_pca[:,1] are the benign and malign tumors? Now in the map? which color is which?

@putridisperindag6986 Год назад

Hello Splilearn, Thanks for the video. I would like to ask about the use of PCA for dimensionality reduction on datasets. Is PCA apropriate to be used as dimension reduction before data classification with supervised learning (i.e method SVM or NB)? Because I still confused with some articles mention that PCA is unsupervised learning.

@10xSG 3 года назад

Thank you simplilearn

@SimplilearnOfficial 3 года назад

You're welcome!

@abhimanyu4020 3 года назад

ThankYou for this great video.

@SimplilearnOfficial 3 года назад

Our pleasure! Thank you for watching!

@Kajidataonline 3 года назад

Thanks for the video. Its very good, may I know, where to get the script and also dataset? Do you provide that or available somewhere. Thanks sir

@SimplilearnOfficial 3 года назад

Hello, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we could send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that also. Hope that helps.

@binarycoders3835 2 года назад

Very Helpful :)

@SimplilearnOfficial 2 года назад

Glad it helped!

@thedoomsday8659 3 года назад

How does CUmulative values of eignvalues help us to decide on the optimum number of principal components? What do the eigenvectors indicate?

@gordongoodwin6279 2 года назад

Not the cumulative value in and of itself, but it allows you to calculate the ratio of variance explained (eigenvalue/cumulative) for each PC…this is roughly what a scree plot represents and is how you determine optimal number of principal components to choose

@serafeiml1041 3 года назад

Nice 👍

@SimplilearnOfficial 3 года назад

Thank you! Cheers!

@AvinashSingh-vj3rk 3 года назад

Nice video

@SimplilearnOfficial 3 года назад

Thanks!

@gowthami712 3 года назад

I have few questions can you please help me sir.... We are working on hsi dataset... The dataset is in mat format how can we convert it into CSV... How to explore dataset I mean how to see class and features in it ... How to apply PCA on hyperspectral image (hsi) dataset

@SimplilearnOfficial 3 года назад

Hello, thanks for viewing our tutorial. It would be helpful if you will provide your email ID to us so that we can send the requested dataset promptly. On the off chance that you need your email ID to be kept hidden from others, we can do that too. Hope that helps.

@gowthami712 3 года назад

@@SimplilearnOfficial Thank you.. This my email id ugowthami2000@gmail.com

@k.s.dakshinaa1007 11 месяцев назад

Igen

@ameerhamza-zr5oc 3 года назад

Sir, i have a football dataset so for feature selection can i used PCA or can i used other feature selection techniques like wrapper method,

@SanjaySingh-qf4tk 3 года назад

Bro how to use pca for feature selection

@gordongoodwin6279 2 года назад

@@SanjaySingh-qf4tk look at which features load the heaviest on the PCs that explain the most variance

@atchayavenkataraman7239 3 года назад

How PCA is used to extract features in high dimension data? Illustrate. This question was once asked in my exams what should I write and how should I explain it, Sir?

@gordongoodwin6279 2 года назад

Did you watch the video? That’s exactly what it’s about