nishadkhudabux Goto Github PK
Name: Nishad Khudabux
Type: User
Bio: Entrepreneurial individual who enjoys driving initiatives, and critical thinking to overcome complex problems.
Name: Nishad Khudabux
Type: User
Bio: Entrepreneurial individual who enjoys driving initiatives, and critical thinking to overcome complex problems.
Built a linear regression model to predict house prices in Boston. The final model is generalized and perfectly predicts prices with a 100% r-squared. Significant EDA and feature analysis were done to identify key features and make business recommendations moving forward.
Unleashed the power of data science to analyze the performance of golfers from the PGA tour. Built ML models and compared Strokes Gained to traditional metrics, resulting in insightful findings and actionable recommendations for golfers at all levels. Showcased advanced data analysis, decision trees, and visualizations in this comprehensive project
EDA (Exploratory Data Analysis) of the Pima Tribe to draw key insights into Diabetes from a controlled sample population.
Performed clustering analysis on OnSports player data for the English Premier League. The clustering analysis successfully identified 4 unique player clusters and uncovered valuable business recommendations by identifying trends and patterns in the EDA, meeting the objective of determining player pricing next season.
Built a classification model to predict clients who are likely to default on their loans. With the challenge of a limited dataset was able to build and tune a Random Forest Model maximized for a recall score of 80%. Significant EDA and feature analysis were done to identify key features and make business recommendations moving forward.
Build a computer vision model to detect malaria from images of infected red blood cells. Model uses a CNN neural network to classify parasitized and uninfected cells with a 98.69% accuracy.
A critical problem in EdTech is converting potential customers into paid customers. Performed EDA to identify the key factors driving the lead conversion process and built an ML model (using Decision Trees and Random Forest) that identifies which leads are more likely to convert.
Build and train ANN and CNN model to process visual database of street view housing numbers, and recognize the digits in the image.
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.