amoghkori Goto Github PK
Name: Amogh Kori
Type: User
Bio: Data Science graduate student, Passionate about leveraging data to drive meaningful insights and solve complex problems.
Location: chicago
Name: Amogh Kori
Type: User
Bio: Data Science graduate student, Passionate about leveraging data to drive meaningful insights and solve complex problems.
Location: chicago
API via postman and HTML page
A data analysis project that predicts credit card customer churn using machine learning models, comparing their performance and utilizing principal component analysis (PCA) for dimensionality reduction.
This project utilizes algebraic and geometric methods in statistics to analyze real-life data using R. It involves conducting various statistical tests, creating Bayesian network graphs, employing linear regression models, and evaluating model fit.
Data science coursera
The Leek group guide to data sharing
Deep Leaning Technique in steganography with multimedia network security
DeepLabCut Mouse Location Prediction: Training a deep neural network to predict the location of a mouse using annotated joint positions.
A drowsiness detection system with emotion analysis for motor vehicles, enhancing safety by alerting drivers when they are drowsy and providing a personalized in-cabin experience based on their emotions.
Exploratory data Analysis for different datasets
Data preparation and cleaning process for movie ratings and reviews dataset and US unemployment rate dataset, involving an 8-step data wrangling process to create an Analytic Base Table (ABT) structure, emphasizing data structuring techniques, cleaning for outliers and missing values, and the importance of accurate and reliable data for analysis.
An advanced machine learning project focused on classifying news articles into 'agreed', 'disagreed', and 'unrelated' categories to effectively identify and combat fake news
Advanced algorithm development for revenue maximization and enhanced conversion value in Google Ads expenditure, achieving a 15% increase in lead conversions while reducing costs
Predictive algorithms for determining the success of Falcon 9 first-stage landing, enabling informed bidding strategies for rocket launch startups.
research paper summarization using LLM
Retail data analysis pipeline utilizing AWS S3, Snowflake, Python, SQL, and Tableau. It demonstrates data transformation and setup in Jupyter Notebook, integrates real-time retail insights via an automated Tableau dashboard with Snowflake, and employs a CRON job in Jupyter Lab connected to Amazon SQS for consistent data updates.
Fault detection caused by APS (Air pressure System) in heavy duty vechicles
Fault detection caused by APS (Air pRessure System) in heavy duty vechicles
Implemented Apache Spark MLLib to analyze a large car dataset, predict car selling prices, and gain insights into the car market.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.