mp-balaji
Master's Student in Big Data Science seeking Internships, Part-Time roles in Data Science and Data Engineering | Ex-@Accenture, Ernst & Young
Queen Mary University of LondonLondon, United Kingdom
Pinned Repositories
Atliqo-Telecom-Anlaysis
The project aims to analyze and compare key performance indicators of a major telecommunications provider using Tableau
Blueberry-Yield-Prediction
End to End machine learning project on regression using cloud based deployment
CIFAR-10-Image-Classification-using-PyTorch
An image classification project implementing a custom neural network architecture using PyTorch to accurately classify images from the CIFAR-10 dataset
Customer-Churn-Prediction
DeepAR-based-Resource-Recommendation-Framework-for-Cloud-Computing-Systems
e-HealthcareFaaS
[JBHI' 24] Neural Networks based Smart e-Health Application for the Prediction of Tuberculosis using Serverless Computing
Food-Image-Classification
This project aims to build machine learning pipelines for two tasks: accurately classifying images as rice or chips and determining if a dish is from Indian cuisine.
Market_Basket_Analysis-Marketing-Analytics
This project involves the implementation of Market Basket Analysis, a powerful technique in retail analytics.
Predicting-Autism-in-Toddlers-through-Machine-Learning
Road-Traffic-Accident-Severity-Prediction
End to End machine learning project on classification using cloud based deployment
mp-balaji's Repositories
mp-balaji/Predicting-Autism-in-Toddlers-through-Machine-Learning
mp-balaji/Food-Image-Classification
This project aims to build machine learning pipelines for two tasks: accurately classifying images as rice or chips and determining if a dish is from Indian cuisine.
mp-balaji/Road-Traffic-Accident-Severity-Prediction
End to End machine learning project on classification using cloud based deployment
mp-balaji/Atliqo-Telecom-Anlaysis
The project aims to analyze and compare key performance indicators of a major telecommunications provider using Tableau
mp-balaji/Blueberry-Yield-Prediction
End to End machine learning project on regression using cloud based deployment
mp-balaji/CIFAR-10-Image-Classification-using-PyTorch
An image classification project implementing a custom neural network architecture using PyTorch to accurately classify images from the CIFAR-10 dataset
mp-balaji/Customer-Churn-Prediction
mp-balaji/DeepAR-based-Resource-Recommendation-Framework-for-Cloud-Computing-Systems
mp-balaji/e-HealthcareFaaS
[JBHI' 24] Neural Networks based Smart e-Health Application for the Prediction of Tuberculosis using Serverless Computing
mp-balaji/Market_Basket_Analysis-Marketing-Analytics
This project involves the implementation of Market Basket Analysis, a powerful technique in retail analytics.
mp-balaji/mp-balaji
mp-balaji/nutrition_analysis_rest_api
Web-based application that allows users analyze their food intake to obtain nutrition info of their diet. The application follows a client-server architecture with the front-end serving as a user interface and the back-end providing a RESTful service interface for CRUD operations.
mp-balaji/Principal-Component-Analysis
This GitHub repository showcases my hands-on exploration of salary data dependencies, the interaction between education and occupation, and a comprehensive Principal Component Analysis (PCA) on college information, providing insights and practical implications in a simplified manner.
mp-balaji/Recency-Frequeny-Monetary-Retail-Analytics
This project involves the implementation of RFM (Recency, Frequency, Monetary) analysis, a powerful technique in customer segmentation and targeting
mp-balaji/Speech-To-Text-Transcription
mp-balaji/sql-server-samples
Azure Data SQL Samples - Official Microsoft GitHub Repository containing code samples for SQL Server, Azure SQL, Azure Synapse, and Azure SQL Edge
mp-balaji/Time-Series-Forecasting
In this project, we leverage time series forecasting techniques to make educated estimates of wine sales throughout the 20th century.
mp-balaji/TMLC-Fellowship-Submission
This is a submission for problem statement given by The Machine Learning Company for their fellowship program. This involved solving the problem statement with NLP techniques.