1. FSL
  2. Machine Learning
  3. NLP Scientist


NLP Scientist

NLP Scientists play a pivotal role in the world of data analysis and natural language processing, leveraging cutting-edge techniques to extract valuable insights from vast textual data. To help aspiring professionals navigate this career, Great Learning offers a range of free courses designed to equip them with the essential skills and knowledge needed to excel in the dynamic field of NLP. Explore the NLP Scientist career path and unlock your potential in this rapidly evolving domain.

Start your journey for free

Begin your learning experience and become a nlp scientist with certificate courses curated to land your dream job.

Skills Covered in this Path

  • Tokenization
  • Stemming
  • Lemmatization
  • Removing Stopwords
  • Modeling Techniques in NLP
  • Machine Learning and Logistic Regression
  • Sentiment Analysis
  • Functionalities of Textblob
  • Textblob Sentiment Analysis
  • U-Net
  • Semantic Segmentation
  • NLP Basics
  • TextBlob Introduction
  • Functionalities of Textblob
  • Textblob Sentiment Analysis
  • U-Net
  • Semantic Segmentation
  • Customer Engagement
  • NLP
  • Social Media Analytics
  • NLP Basics
  • Vectorization
  • Build Language Detection Model
  • Text Pre-processing
  • Vectorization
  • Modeling
  • Amazon Reviews Sentiment Analysis
  • Twitter Sentiment Analysis
  • Introduction to Recommendation Systems
  • Movie Recommendation Demo
  • ANN Model
  • Keras
  • Python
  • Weights
  • Biasis
  • Activation
  • Back Propagation
  • Time Series Forecasting
  • ANN and RNN
  • Understanding image processing
  • Using Convolutional Neural Networks
  • Face recognition using Python
  • Building a virtual assistant
  • NLP Use-cases
  • NLP Project
  • Types of Chatbots
  • Top applications of Chatbots
  • Architecture of Chatbots
  • Hands-on demonstration of Building a Chatbot

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  • career skills

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    Hand-picked curated courses in each path will help you fasttrack your journey and gain a new skill in just a few months.