Bittu kumar Singh's repositories
Scrape-Twitter-Data-using-Snscrape
The objective of this project is to extract and analyze data from Twitter to gain insights, understand trends, and perform sentiment analysis.
Airbnb-Analysis
Airbnb data Analysis & visualization
Amazon-Marketing-Performance-Analysis
Build PowerBI Dashboard to show Marketing Performance
Credit-Card-Default-Prediction
This project involved data preprocessing, model building, and deployment of a machine learning model to predict credit card default.
Sentiment-Analysis-using-BERT-Embeddings
This Project provides an in-depth analysis of the sentiment analysis that leverages BERT embeddings.
Airlines-customer-segmentation
This project has successfully identified distinct customer segments in the airline industry.
Analysis-of-Amazon-Prime-Videos
The objective of the analysis is to gain insights into the performance and popularity of content on the Amazon Prime Videos platform.
Cancer-Classification-with-Neural-Network
Implement the project using Python and deep learning frameworks such as TensorFlow/Keras. Utilize libraries like pandas for data manipulation, scikit-learn for data preprocessing and evaluation, and matplotlib/seaborn for visualization.
Diwali-Sales-Analysis
The Diwali Sales Analysis project focuses on analyzing sales data during the Diwali festival to gain insights into customer behavior, improve customer experience, and optimize sales strategies.
IMDB-Reviews-Sentiment-Analysis-with-LSTM
The dataset used in this project consists of 50,000 IMDB movie reviews, evenly split into 25k reviews for training and 25k for testing. Each review is labeled as either positive or negative.
YouTube-Data-Harvesting-and-Warehousing
The project utilizes SQL, MongoDB, and Streamlit to create a user-friendly application that allows users to retrieve, store, and query YouTube channel and video data.
Analysis-of-Global-Superstore
The analysis of the Global Superstore dataset provides valuable insights into various aspects of retail operations.
Analyzing-Factors-Influencing-US-Home-Prices
This project, endeavors to shed light on the intricate relationship between key supply and demand factors and US home prices over the past two decades.
Bizcard-Text-Extraction
Extract text from images using easyOCR library.
Breast-Cancer-Detection-with-Neural-Network-using-PyTorch
Breast cancer is one of the most common cancers among women worldwide. Early detection plays a crucial role in improving the chances of successful treatment
Consumer-finance-complaints-visualization
This Python project analyzes consumer complaints data downloaded from the Consumer Financial Protection Bureau (CFPB) website.
Data-Analysis-and-Insights-for-Page-Optimization
PowerBI Dashboard Analysis
Flight-price-prediction
Aim to conduct various statistical hypothesis tests and utilize the 'Linear Regression' statistical algorithm to gain meaningful insights from the data.
GitHub-User-Analytics-and-Recommendation-System
This project aims to collect data from GitHub users, store it in MongoDB, and create an analytics dashboard to understand users' technical strengths and weaknesses.
HR-Analytics
Through data cleaning and visualization, this project sought to uncover patterns, correlations, and trends that can inform strategic HR decisions.
mnist-classification-using-tensorflow
This repository contains code for a simple MNIST digit classification project implemented using TensorFlow.
Prescription-Pattern-Analysis
The project utilizes a dataset containing electronic health records of patients diagnosed with a specific disease.
Sales-Data-Analysis
The purpose of this project was to analyze sales data to provide actionable insights for improving sales strategies and maximizing revenue.
Sentiment-Analysis-Using-NLP
This project is to build sentiment analysis models capable of classifying text data into three categories: Positive, Negative, and Neutral sentiments.
US-Accidents-Analysis
The objective is to analyze accident patterns, identify contributing factors, and visualize the impact of accidents on traffic safety.