Anand Raj's repositories
Sentiment-prediction-from-Amazon-reviews
This project employs advanced natural language processing and machine learning to analyze Amazon reviews, predicting sentiment shifts. It assists users and businesses in understanding and anticipating public perceptions of products, guiding development, and enhancing decision-making within the e-commerce landscape.
anandr07.github.io
My Portfolio - Personal Website
New-York-City-Taxi-Trip-Duration
Data Mining project
EzFlow.ai
Under Construction :)) EzFlow.ai, your go-to platform for effortlessly turning raw tabular data into powerful machine learning models! EzFlow.ai is an intuitive and user-friendly software product designed to democratize machine learning, making it accessible to everyone, regardless of their expertise.
University-Recommendation-System-using-Neo4j
Built a recommendation system for Recommending Similar Universities using Neo4j. Developed by Neo4j, Inc., Neo4j is a graph database management system that preserves nodes, edges connecting these nodes, and attributes related to both nodes and edges.
Artificial-Music-Generator
This project implements an Artificial Music Generator using LSTM (Long Short-Term Memory) networks, a type of recurrent neural network (RNN). The system generates music character by character based on a given input dataset.
Loan-Defaulters-Prediction
Mitigate loan default risk with our predictive analysis model on GitHub. Leveraging customer data, our tool assists banks in identifying borrowers likely to repay loans in full, enhancing decision-making accuracy. Explore the code and resources for a transparent and informed approach to loan approvals, reducing default risks.
Quora-Question-Pair-Similarity
This project aims to identify duplicate questions using natural language processing. Leveraging machine learning algorithms like Logistic Regression, SGD Classifier, and XGBoost, the system achieves accurate classification, enhancing user experience by reducing redundancy in question content on the Quora platform.
Analytics-Vidhya-Competition-LD
Analytics Vidhya
NLP-Research-Papers-Labeling-Expedition
The project's main objective is to create a prediction model capable of classifying NLP research papers into predefined categories. By automating this process, we aim to streamline the organization and storage of research papers in databases, facilitating easier retrieval and analysis.
Analytics-Vidhya-Competitions-Black-Friday-Sales
Analytics Vidhya competition
first-contributions
🚀✨ Help beginners to contribute to open source projects
Improving-Quality-of-Low-Light-Images
This project focuses on improving the image quality of low-light images using a deep learning-based approach. The implemented solution involves the use of a convolutional neural network (CNN) to enhance the details and visual appeal of images captured in challenging lighting conditions.
Movie-Revenue-Prediction
This project aims to build a prediction model to predict Revenue generated by a Movie using Movie Details and Information. We have performed Statistical analysis, Hypothesis Testing, Model Building and Validation.
Practice-ML-Algorithms-using-R
Practice ML Algorithms using R on Small Datasets - For Begineers