Sathish Prasad V T's Projects
This repo presents a comprehensive Uber analysis using GCP, Looker, and Mage. From data collection to insights, it showcases integrated data techniques for a full understanding of the process.
Android Studio projects a part of academic Course. Mobile Application Developement
"Basics of PostgreSQL" repository offers fundamental insights into this powerful relational database. Explore SQL syntax, data modeling, querying techniques, and more. Perfect for beginners seeking a strong foundation in PostgreSQL essentials. Dive into the world of data management with confidence.
Credit Card Fraud Detection via PyTorch MLP uses deep learning to identify fraud. Trained on past data, it discerns between genuine and fake transactions. With multiple layers and dropout, it ensures high accuracy and security, adapting to new fraud methods for effective, real-time prevention.
This project, "Detecting Anomaly in ECG Data Using AutoEncoder with PyTorch," focuses on leveraging an LSTM-based Autoencoder for identifying irregularities in ECG signals. It employs PyTorch to train and evaluate the model on datasets of normal and anomalous heart patterns, emphasizing real-time anomaly detection to enhance cardiac monitoring.
This project aims to utilize Machine Learning (ML) to predict diseases based on a set of symptoms. It serves as a predictive tool that could be used to aid preliminary medical diagnostics.
Elevate movie recommendation systems with the fusion of Collaborative Filtering and Natural Language Processing (NLP), delivering tailored film suggestions that resonate with users' preferences and reviews.
This repository will contain all sorts of basic visualisation to step into the world of football analytics
Using PyTorch, combining CNN for feature extraction and Transformers for natural language generation. The project enhances accessibility for the visually impaired, converting visual content into precise audio descriptions
Python-based GitHub repository housing a predictive model for diabetic patient readmission, powered by machine learning and utilizing the SMOTE technique. Improve patient care and reduce readmission rates with this advanced solution.
This GitHub repository contains a machine learning model designed to predict insurance quotes with accuracy and precision. Our predictive model utilizes a dataset of historical insurance data to estimate insurance premiums for various policyholders based on a range of factors, such as age, location, coverage type, and more.
This repository contains the implementation of a Music Recommendation System using the Spotify dataset from Kaggle. The system is built with Machine Learning techniques to suggest songs to users based on their listening history and preferences.
Free football data from StatsBomb
Welcome to my GitHub repository, your go-to resource for mastering practical statistics inspired by the acclaimed book "Practical Statistics for Data Scientists." Here, I've compiled and implemented over 50 vital statistical concepts using both R and Python, simplifying the journey to statistical expertise.
Python code to predict patient treatment discontinuation probability, trained on patient features such as age, gender, medical history, and treatment type. Can be used to identify patients at high risk of discontinuing treatment, so clinicians can intervene early.
Use of Multilayer Perceptron (MLP) neural networks to accurately predict house prices, revolutionizing real estate valuation.
A repository containing foundational programming assignments from my Fuqua Quantitative Management Masters, highlighting essential coding concepts for data analysis and interpretation in a business context.
Taste Match is an end-to-end project that utilizes advanced natural language processing techniques. It expertly recommends restaurants by analyzing your favorite dining spots, ensuring personalized and accurate suggestions
Football Analytics
A comprehensive repository containing my solutions to the SQL 50 Challenge by LeetCode. Each solution is accompanied by detailed explanations and best practices in SQL, catering to those looking to enhance their database querying skills
This GitHub repository houses a comprehensive collection of SQL commands and scripts tailored specifically for data engineering tasks. Whether you're a seasoned data engineer or just starting out, this resource provides a valuable toolkit to efficiently manage, transform, and process data within your projects.