peppyguy Goto Github PK
Type: User
Type: User
This project is based on a challenge posted on kaggle.com. It is about prediction product sales for Corporación Favorita(CF) . CF is one of the Ecuadorian-based grocery retailers, operating hundreds of stores, with over 200,000 different products which includes perishable products also such as egg,milk etc. They need good estimated sale of each product so that they can purchase and update inventory accordingly. This estimate eventually benefits two ways to FC. One, help FC not to overstock under popular products specifically perishables and another is have enough inventory in anytime for each product so that customers do not disappointed because not having stock of product.
American express Artificial Intelligence Internship Challenge
Dataset Taken from HackerEarth
Recognizing human activities using Deep Learning
AlphaPose + ST-GCN + SORT.
Deep Learning Project.
Real-time, Multi-person & Multi-camera Fall Detector in Python
R package for data imputation. Fills missing values in a numeric matrix
Codes for Kaggle Competitions
5th place solution for Kaggle competition Favorita Grocery Sales Forecasting
Demonstration of parametric bootstrap to find k for kmeans
The Foundation for All Legate Libraries
A List of Recommender Systems and Resources
End-to-end Modelling Examples in Python, R, Keras & PySpark
Documenting my python implementation of Andrew Ng's Machine Learning course
This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning
A complete daily plan for studying to become a machine learning engineer.
Machine Learning notebooks for refreshing concepts.
An implementation of a complete machine learning solution in Python on a real-world dataset. This project is meant to demonstrate how all the steps of a machine learning pipeline come together to solve a problem!
Machine Learning Experiments and Work
Python codes for common Machine Learning Algorithms
Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
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.