Amazon Fine Food Reviews | NLP Preprocessing & EDA in Python (Coding)

In this video, we begin the coding part of our Natural Language Processing (NLP) journey using the Amazon Fine Food Reviews dataset.

You'll learn how to prepare raw text data before applying machine learning models. This includes downloading the dataset, performing Exploratory Data Analysis (EDA), cleaning the text, removing stop words, and applying stemming.

In this video, you'll learn: • Downloading the Amazon Fine Food Reviews dataset • Loading and exploring the dataset using Pandas • Performing Exploratory Data Analysis (EDA) • Understanding the structure and distribution of the data • Text cleaning and preprocessing • Removing stop words • Applying stemming using NLTK • Preparing clean text for feature engineering

This is the first coding video in the NLP series. In the next video, we'll implement Bag of Words (BoW) to convert the preprocessed text into numerical features that machine learning models can understand.

📚 Perfect for: • NLP Beginners • Machine Learning Students • Data Science Enthusiasts • Python Developers • AI Learners • Interview Preparation