IT-NetworkZ

Natural language Processing using Python

Work with text preprocessing, tokenization, and sentiment analysis using Python libraries like NLTK and spaCy.

Improve Python skills with libraries like pandas, NumPy, and scikit-learn for data manipulation and analysis.

Apply machine learning models for text classification, clustering, and other NLP tasks.

Develop applications like chatbots, recommendation systems, or text summarization tools.

Work with advanced models like BERT and GPT for tasks such as text generation and machine translation.

Collaborate with data scientists and researchers to learn about cutting-edge NLP advancements.

Familiarity with Python programming, including data structures and libraries like pandas and NumPy.

Knowledge of fundamental NLP techniques such as tokenization, text preprocessing, and part-of-speech tagging.

Basic understanding of machine learning algorithms and experience with libraries like scikit-learn for tasks like text classification.

Enables development of powerful applications like chatbots, sentiment analysis, and text summarization, useful in various industries.

Python’s rich libraries (e.g., NLTK, spaCy, TensorFlow) allow seamless integration of NLP with machine learning and deep learning models.

Automates the extraction and analysis of insights from large text data, saving time and enhancing decision-making processes.

Undergraduates or graduates pursuing degrees in Computer Science, Information Technology, or related fields with an interest in AI and NLP.

Individuals with a passion for data science, machine learning, and artificial intelligence, who want to specialize in natural language processing.

Students studying fields like electronics, electrical engineering, or mathematics, who have a strong foundation in programming and problem-solving.

Fresh gradua

Python Programming

Understanding of NLP Concepts

Machine Learning Basics

Familiarity with NLP Libraries

Data Preprocessing & Feature Engineering

Basic Statistics & Math

Certificate

Letter of recommendation

Flexible work hours

Internship Details