#datascience
---------------------------------------------------------------------------------------------------------------------------------------
Video Description:
Welcome to our video on Principal Component Analysis (PCA) in Machine Learning! PCA is a dimensionality reduction technique that is used to reduce the complexity of a dataset while still retaining as much of the original information as possible.

In this video, we will explain the concept of PCA in detail and demonstrate how it can be implemented in machine learning projects. We will also discuss the benefits of using PCA and how it can improve the performance of your machine learning models.

This video is suitable for those who have some knowledge of machine learning and are interested in learning more about PCA. The tutorial is presented in Hindi/Urdu language, so it is easy to understand for those who are more comfortable with these languages.

We hope you find this video helpful and informative. If you have any questions or feedback, please leave a comment below. Thank you for watching!
---------------------------------------------------------------------------------------------------------------------------------------

Subscribe to our Channel to learn more about the top Data Science, Machine Learning and Deep Learning : https://www.youtube.com/c/Codanics

---------------------------------------------------------------------------------------------------------------------------------------




---------------------------------------------------------------------------------------------------------------------------------------
Explore other free courses here:
Python ka chilla v1.0 for Data Science (playlist): https://youtube.com/playlist?list=PL9XvIvvVL50HVsu-Ao8NBr0UJSO8O6lBI

Machine learning ka chilla (playlist): https://www.youtube.com/watch?v=KYl9zmSt-Ik&list=PL9XvIvvVL50HHzaLPtFBOuikAWa0JdhMW

Streamlit course for dash boards and webapps for data science (playlist):
https://youtube.com/playlist?list=PL9XvIvvVL50FG8TUsLScsLMmJDacK36x2

Cloud computing (playlist): https://youtube.com/playlist?list=PL9XvIvvVL50H72Q75WkYA_2zjZok30Rvp

#RwithAammar Programming with R for Data Analysis and Data Science (Playlist): https://www.youtube.com/playlist?list=PL9XvIvvVL50E8HimtAnVL8N70MqImYOLS

Make publication ready graphs in Rstudio: https://www.youtube.com/playlist?list=PL9XvIvvVL50Hi2RGu-zlNEnk9WJMjPH-g

Computer Vision openCV in Python (Playlist): https://youtube.com/playlist?list=PL9XvIvvVL50GKoKrluZ1A96Bsuw8qC-3r

MS Excel for Data Analysis: https://www.youtube.com/playlist?list=PL9XvIvvVL50Hl4kVygAWYEpBXUteQlAiN

SQL complete course in Hindi/Urdu: https://youtube.com/playlist?list=PL9XvIvvVL50FszjOhcZw9WXIJQY6ZwV5g

---------------------------------------------------------------------------------------------------------------------------------------
-Follow me on following platforms:
1. Twitter: https://twitter.com/aammar_tufail
2. github: https://github.com/AammarTufail
3. Tiktok: https://www.tiktok.com/@draammar
---------------------------------------------------------------------------------------------------------------------------------------
#dataScience
Join this telegram group for regular updates via zoom meeting 1-to-1 sessions: https://t.me/codanics
---------------------------------------------------------------------------------------------------------------------------------------

for more details:
www.codanics.com