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Special Thanks To Ashish Patel And All The Bloggers For the Amazing Contribution
https://www.linkedin.com/in/ashishpatel2604/
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Starter In Data Science

1 Complete Machine Learning Playlist:(Top 24 videos)

https://www.youtube.com/playli....st?list=PLZoTAELRMXV

2 Statistics in Machine Learning:(Understand some Concepts With Respect To Data)- Complete Playlist
https://www.youtube.com/playli....st?list=PLZoTAELRMXV

3. Feature Engineering(Complete Playlist)
https://www.youtube.com/playli....st?list=PLZoTAELRMXV

4. Continue The Complete Machine Learning Playlist(24-all the videos)

5. Live Stream Playlist:(Top 10 videos)
https://www.youtube.com/playli....st?list=PLZoTAELRMXV

6. Machine Learning Pipelines

https://www.youtube.com/playli....st?list=PLZoTAELRMXV

7. Complete Deep Learning Playlist:
Tensorflow And Keras-https://www.youtube.com/playli....st?list=PLZoTAELRMXV

Pytorch: https://www.youtube.com/playli....st?list=PLZoTAELRMXV

8. Live Projects Playlist:
https://www.youtube.com/playli....st?list=PLZoTAELRMXV
9. Live stream Playlist: https://www.youtube.com/playli....st?list=PLZoTAELRMXV
10.Docker Playlist: https://www.youtube.com/playli....st?list=PLZoTAELRMXV
11. Mongodb: https://www.youtube.com/playli....st?list=PLZoTAELRMXV
12. Machine Learning Interviews: https://www.youtube.com/playli....st?list=PLZoTAELRMXV

In this video I will give you the resources you need to learn data science from zero knowledge. We will discuss several programming books and math books that are perfect for beginners who want to acquire the skills to become a data scientist. In particular we will look at books on R, Python, Calculus, Linear Algebra, and Statistics. Several more advanced books are also presented in this video. Do you have any other book recommendations for learning Data Science? If so, please leave a comment below.

Programming Books
The Art of R Programming https://amzn.to/3GqxS59
Larning Python https://amzn.to/3EGRGjd
Python Crash Course https://amzn.to/3tDlR4z
Doing Math With Python https://amzn.to/3TGdAra

Calculus Books
Calculus by Stewart https://amzn.to/3V3rCnQ
Calculus by Larson https://amzn.to/3XgjHp1
Calculus Early Transcendentals by Briggs https://amzn.to/3V1qfGa
Vector Calculus https://amzn.to/3UEUhjj

Linear Algebra Books
Elementary Linear Algebra by Anton https://amzn.to/3tDbrBQ
Elementary Linear Algebra by Larson https://amzn.to/3GsjtoW
Introduction to Linear Algebra by Strang https://amzn.to/3TMHU3v
Linear Algebra by Wilde https://amzn.to/3THlmkt
Elementary Linear Algebra by Grossman https://amzn.to/3hSLAn5
Schaum's Outline of Linear Algebra https://amzn.to/3TMzwAQ
Linear Algebra Theory and Applications by Cheney and Kincaid https://amzn.to/3gcRfnA
Linear Algebra by Friedber, Insel, and Spence https://amzn.to/3V1s6L8

Statistics Books for Beginners
Understanding Statistics by Mendenhall https://amzn.to/3EJ2SMu
Probability and Statistics for Engineers and Scientists by Ross https://amzn.to/3XekCqc
Statistics by McClave https://amzn.to/3GskLjM or https://amzn.to/3UTLoCM
Schaum's Outline of Probability and Statistics https://amzn.to/3XeJTQO

Mathematical Statistics Books
Mathematical Statistics with Applications by Wackerly, et al. https://amzn.to/3EaX5xq
John Freund's Mathematical Statistics with Applications https://amzn.to/3UX0bvY

Advanced/Specialty Statistics Books
The Statistical Analysis of Experimental Data https://amzn.to/3ANaaMT
Design and Analysis of Experiments https://amzn.to/3TGiCE4
Applied Regression Analysis https://amzn.to/3ElFCT0
Methods of Multivariate Analysis https://amzn.to/3UN4QRs
Nonparametric Statistical Methods https://amzn.to/3OiArrz
Applied Linear Statistical Models https://amzn.to/3EHpIE5
Introduction to Linear Regression Analysis https://amzn.to/3UX1Vp0
Probability and Statistical Inference https://amzn.to/3Oon5Kz
Statistical Methods https://amzn.to/3EGxaPK
Applied Multivariate Statistical Analysis https://amzn.to/3tDrOhV

These are my affiliate links. As an Amazon Associate I earn from qualifying purchases.

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XEUJI BOXUNDHORA, a song by TRIV, about Dimpu Baruah and his adventures. The song has been beautifully composed by TRIV and Lakhya, sung by Lakhya himself and beautifully penned down by Jupitara Deka.
This song is all about the positive vibes and reflects on Dimpu Baruah as a person.


Credits:

Music - TRIV
Composition - TRIV, Lakhya
Vocals - Lakhya
Lyrics - Jupitara Deka

Video credits:

Choreography and Direction - Dimpu Baruah

Cinematography - Trinav Arandhara, Dipankar Das

Editing - Dimpu Baruah
Additional Editing - Jerif Akhtar

poster design by arnab sarma

Follow on Instagram:

TRIV - https://instagram.com/__triv__

Lakhya - https://insatgram.com/lakhya_music

Jupitara - https://instagram.com/jupitaara

Trinav Arandhara- https://instagram.com/yvngcuz.music

Dipankar Das - https://instagram.com/_heyy.sunny_

Jerif Akhtar - https://instagram.com/jrfvdx

arnab ( poster design)
https://instagram.com/the_arna....bbb?igshid=OGQ2MjdiO


#assamesemusicvideo #dimpubaruah

( R Training : https://www.edureka.co/r-for-analytics )
Data mining is the process of digging out useful and interesting knowledge from large amounts of data. R is a free software environment, which provides a wide variety of statistical and graphical techniques meant for statistical computing and graphics. R provides comprehensive collections of packages for different tasks involved in data mining. Watch this video to get some more insight into what data mining is, along with the following topics:
1. What is Data Mining?
2. Why Data Mining?
3. CRISP-DM, KDD and SEMMA
4. Advanced techniques in Data Mining in R
5. Multiple data mining methods using RATTLE

Related Posts:
http://www.edureka.co/blog/k-means-clustering/

Edureka is a New Age e-learning platform that provides Instructor-Led Live Online classes for learners who would prefer a hassle free and self paced learning environment, accessible from any part of the world.
The topics related to Data Mining and R have extensively been covered in our course ‘Business Analytics with R’.
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