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Natural language processing (NLP) is a field of computer science, artificial intelligence and computational linguistics concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language corpora.

Python for Data Science Certification Training Course:

Download the Machine Learning Career Guide to explore and step into the exciting world of Machine Learning, and follow the path towards your dream career-

The Data Science with Python course is designed to impart an in-depth knowledge of the various libraries and packages required to perform data analysis, data visualization, web scraping, machine learning, and natural language processing using Python. The course is packed with real-life projects, assignment, demos, and case studies to give a hands-on and practical experience to the participants.

Mastering Python and using its packages: The course covers PROC SQL, SAS Macros, and various statistical procedures like PROC UNIVARIATE, PROC MEANS, PROC FREQ, and PROC CORP. You will learn how to use SAS for data exploration and data optimization.

Mastering advanced analytics techniques: The course also covers advanced analytics techniques like clustering, decision tree, and regression. The course covers time series, it’s modeling, and implementation using SAS.

As a part of the course, you are provided with 4 real-life industry projects on customer segmentation, macro calls, attrition analysis, and retail analysis.

Who should take this course?
There is a booming demand for skilled data scientists across all industries that make this course suited for participants at all levels of experience. We recommend this Data Science training especially for the following professionals:
1. Analytics professionals who want to work with Python
2. Software professionals looking for a career switch in the field of analytics
3. IT professionals interested in pursuing a career in analytics
4. Graduates looking to build a career in Analytics and Data Science
5. Experienced professionals who would like to harness data science in their fields
6. Anyone with a genuine interest in the field of Data Science

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Aisha Siddiqua Dabeer says:

Nice explanation. Can you please share the dataset and code to my id :

Yogesh Bhilare says:

Nice Video!

Could you please send the data and presentation slides on ""


Thank for the tutorial. May you please share the dataset and the notebook file for the tutorial to my email

Don Chidziwo says:

Hi thank you for the tutorial, may you kindly send me a copy of the dataset file. My email is

Shuvaday Chatterjee says:

Kindly send me the spam detection dataset
Thank you

Qiaoyi Li says:

Hi, thank you for your tutorial, and it is very explicitly explained. Would you please send me one copy of the dataset file used in the video. My email is: Thank you again for sharing and making learning so easy and fun.

kwon dhy says:

Hi. Thank you for informing us about NLP. I would like to introduce this video on the Insight Campus blog, Fin Insight – Education Services. Could I introduce this video as a URL link on my blog?

deerej balaji says:

please upload spam collection dataset

deerej balaji says:

I did not get that NLTK downloader page

Kamlesh Sharma says:

Wow Awesome tutorial,sir can you plz send me the dataset as well as souce code on my mail id…Thanku.

raj kumar says:

i watch all ur vedios which are very helpful . thanks for the vedio and explained very well , can u mail me the spam data set to my mail id

Amresh Giri says:

Can you share the presentation with me on ? Thanks.

Benya Jamiu says:

its amazing video. How to get the dataset for SMSSpamCollection .?

Nishi Sood says:

Forgot to mention my email id to send the dataset :

Nishi Sood says:

Nice video. Please help me by providing the dataset :: SMSSpamCollection  used in your last demo related to Pipeline and grid Search

hemanth harihareswara says:

Simple and nice explanation

Beni M says:

Thanks for all your videos, I would like to have a complete course of SAS programming

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