This project is based on creating a "World Cloud "from a text by writing a script.

MBA involves analyzing customer transaction data to identify which products are purchased together in the same basket or transaction. The analysis is typically done by looking at the frequency of co-occurrence of items in the transaction data, and then applying statistical techniques to identify which items are most frequently purchased together.

Customer Insights & Recommendation System: Harnessing Decision Tree, Logistic Regression, and Random Forest models for behavior analysis. Utilizing EasyOCR and Python Imaging Library for image information extraction. Employing NLTK for sentiment analysis on textual data

Generating Word Cloud in Python

YouTube Data Analysis using AWS S3 bucket for data storage and Python for Exploratory Data Analysis

공공데이터 기반 데이터 형식 변환 및 구글차트화 / 워드클라우드화

Fake News analysis and prediction in R Script. Naive Bayes, Random Forest, SVM, NNET, ROC, Confusion Matrix, Accuracy, F1 score.

Sentiment analysis and forecasting on fast food restaurants using R and Shiny

This repository contains code for Urdu Text preprocessing natural language data for use in NLP applications.

Business analytics, data analysis projects and practices.

Data visualization project with seaborn, matplotlib and worldcloud to analyze current trends in movies and TV shows on Netflix

Wordcloud and Sentiment Analysis on the Whatsapp Chats

Scripit using Python that extract Tweets related to the prime minister of India, "Narendra Modi" and get Insights about his popularity.

Códigos e relatórios gerados para disciplina de Jogos para Console com a utilização da biblioteca python-docx