U&P AI - Natural Language Processing (NLP) with Python

Welcome to “U&P AI – Natural Language Processing (NLP) with Python”! In this Comprehensive online course, you will learn the Fundamentals and advanced concepts of Natural Language Processing (NLP) using the Python Programming language. NLP is a rapidly growing field that focuses on Enabling computers to understand, Interpret, and Generate human language.

What you’ll learn:

Introduction to Natural Language Processing

Overview of NLP and its applications
Challenges in NLP
Introduction to Python Libraries for NLP (NLTK, spaCy, gensim)

Text Preprocessing and Tokenization

Text cleaning and Normalization
Tokenization techniques
Stop words removal
Stemming and Lemmatization

Part-of-Speech Tagging and Named Entity Recognition

Understanding parts of speech (POS) and POS tagging
Techniques for POS tagging
Introduction to named entity Recognition (NER)
Approaches for NER

Sentiment Analysis

Understanding Sentiment analysis
Building sentiment classifiers using supervised learning
Sentiment lexicons and rule-based approaches
Fine-grained sentiment analysis

Topic Modeling

Introduction to topic modeling
Latent Dirichlet Allocation (LDA)
Evaluating and interpreting topic models
Advanced topic modeling techniques

Text Generation

Language modeling and Markov chains
Recurrent Neural Networks (RNNs) for text generation
Sequence-to-sequence models for text generation
Conditional text generation

Advanced NLP Techniques

Word embeddings (Word2Vec, GloVe)
Deep learning for NLP (CNNs, LSTMs, Transformers)
Transfer learning in NLP
Ethical considerations in NLP

NLP Applications and Case Studies

Text classification and document clustering
Question answering systems
Machine translation
Chatbots and conversational agents

NLP Project Development

Applying NLP techniques to a real-world project
Project planning and data acquisition
Implementation and evaluation
Presenting and showcasing your project

Throughout this course, you will gain a deep understanding of the core concepts and techniques used in NLP, and you will learn how to apply them to solve real-world problems. We will cover a wide range of topics, including text preprocessing, tokenization, part-of-speech tagging, named entity recognition, sentiment analysis, topic modeling, and text generation.

By the end of this course, you will have the knowledge and skills to build your own NLP applications and leverage the power of Python libraries such as NLTK (Natural Language Toolkit), spaCy, and gensim. Whether you’re a beginner or an experienced programmer, this course will provide you with the necessary foundation to excel in the field of NLP.

Enroll now and embark on a journey to become proficient in Natural Language Processing using Python! Whether you want to enhance your career or explore the exciting world of NLP, this course will equip you with the necessary knowledge and skills to succeed.

Prerequisites:

Basic knowledge of Python programming
Familiarity with fundamental concepts of machine learning is beneficial but not mandatory

Target Audience:

Aspiring data scientists and machine learning enthusiasts
Python developers interested in NLP
Professionals seeking to apply NLP techniques in their work
Students and researchers in the field of linguistics and computational linguistics

Why Blackboard learning

Blackboard Learning is an online learning platform by which students from any corner of the world can learn his/her desired course. Using online learning, we assist students in realizing their full potential and advancing their careers. Today, our goal is to be the world’s leading provider of online learning experiences with a global impact. By leveraging online learning, we assist students in preparing for bright futures in world-changing jobs. We provide a wide range of categories including Accounting & IT, Programming, Creative and more. Our courses are designed to stretch students intellectually through state of the art online learning.