NLP-learning

Learning NLP Basics in 15 Days

NLP Series - Day 1

Overview

Welcome to Day 1 of the Natural Language Processing (NLP) Series! 🚀 This series is guided by the brilliance of our mentor, Dr. Ayan, who brings unparalleled expertise to the field.

Contents Covered

1. Introduction to NLP

Understood the core concept of Natural Language Processing and its significance in various applications.

2. Applications of NLP

Explored a myriad of NLP applications including chatbot development, next word prediction, sentiment analysis, restaurant reviews, language translation, and text summarization.

3. NLP in Medical Imaging

Delved into the fascinating intersection of NLP and medical imaging, specifically using MRI data for brain tumor detection. Applied statistical measures such as mean, median, and mode for insightful analysis.

4. Text Pre-processing

Learned the essentials of text pre-processing, covering data cleaning, tokenization, handling stopwords, stemming, and lemmatization. These techniques form the foundation for effective NLP analysis.

5. Practical Implementation

Executed a hands-on practical implementation of the learned concepts using Google Colab. The implementation is available in the GitHub repository.

GitHub Repository

👉 GitHub Repository Link

How to Use

Clone the Repository:
```
git clone insert_repository_link_here
```
Navigate to the Code:
```
cd repository_name
```
Open and Explore:
- Dive into the Jupyter notebook for a detailed walkthrough.
- Explore the code snippets for each concept covered.

Contributions

Feel free to contribute, share your insights, or raise issues. Let's learn and grow together!

Stay Connected

Follow for more updates on the NLP series and share your thoughts. Exciting things await! 🌟

Happy Coding! 🚀✨

mrvinayakjha/NLP-learning