Flowers

DataHour: A Beginner's Guide to Natural Language Processing

Online 11-04-2023 07:00 PM to 11-04-2023 08:00 PM
  • 4902

    Registered

  • Knowledge and Learning.

    Prizes

About the DataHour:

The NLTK (Natural Language Toolkit) is the go-to library for Python NLP (Natural Language Processing). It is used for preprocessing text data for further analysis, such as with ML models. It aids in the conversion of text into numbers, which the model can then work with. There are many features where NLTK helps like - Tokenizing , Stemming, Lemmatizing , POS Tagging , etc. 

In this Datahour, Akash will explain the various features, libraries and methodologies of conversions used in NLP from basics. 


Prerequisites:
 
Strong interest in Data Science and Machine Learning.


Who is this DataHour for?

  • Students & Freshers who want to build a career in the Data-tech domain.
  • Working professionals who want to transition to the Data-tech domain.
  • Data science professionals who want to accelerate their career growth


Note:
E-certificates will be provided within 24 - 48 hours of the session only to those who have attended the entire webinar. Please make sure to join the zoom webinar with your correct name and email address to ensure that your certificate is properly credited to you.


Speaker:

Akash Kothari

Associate Data Scientist at Deloitte

Akash is a Data Scientist with 4+ years of experience and with a strong background in software engineering who has experience working with a wide range of data pipelines and databases, including unstructured ones. He is proficient in predictive modeling, data processing, and data mining algorithms, as well as scripting languages, including Python and Java.

Connect with him on Linkedin.

ALT

Please register/login to participate in the contest

Please register to participate in the contest

Please register to participate in the contest

Closed

Support

We use cookies essential for this site to function well. Please click to help us improve its usefulness with additional cookies. Learn about our use of cookies in our Privacy Policy.

Feedback

We believe in making Analytics Vidhya the best experience possible for Data Science enthusiasts. Help us by providing valuable Feedback.