☕ Automatic tagging for coffee reviews using SCAA flavor wheel standardized tags 🤖☕

This project aims to conduct sentiment analysis on Steam game reviews using an end-to-end machine learning pipeline. The process involves web scraping, data cleaning, exploratory data analysis (EDA), natural language processing (NLP), and sentiment analysis. The sentiment analysis is performed using the NLTK library, and the results are visualized

Here, you get the most advanced python project to impress your crush [By the way I'm lying your crush only hates you If you try to impress her by these projects].

Preprocessing using NLTK ,SPACY

Mostly using Google Colab

A movie recommendation system, is an AI/ML-based approach to filtering or predicting the users’ film preferences based on their past choices and behavior. It’s an advanced filtration mechanism that predicts the possible movie choices of the concerned user and their preferences towards a domain-specific item, aka movie.

Project using Naive Bayes, SVM, CNN, LSTM, etc.

Language of Music - Topic modelling of over 5 million lyrics.

YouTube View Count and Viewers Analysis Model

learning python day 15

Basic Building block of NLP application is Text Preprosessing.

A compilation of my projects in Data Science, Artificial Intelligence, Machine Learning, Natural Language Processing, and Data Analytics

In the spam email dataset, this Python code snippet is performing text classification using support VectorSVM.

Using Multinomial Naive Bayes, this code snippet illustrates a text classification task. It starts by loading training and testing data sets containing text descriptions and the associated genres.

The hands-on NLTK tutorial for NLP in Python

This code snippet performs fraud detection using machine learning models such as RandomForestClassifier and DecisionTreeClassifier.

A command line based local search engine.

This repository describes NLTK methodology applied to Machine Learning

I recently dived into the AI spce and came up with a bot which can be embedded on a website to help users navigate through the web context when customer service agents are offline... Probably it's a good move since it's my first time developing a machine learning model.You can send a PR where possible 🤝🤓🤝

NLP (Natural Language Processing)