htnani Goto Github PK
Name: Hedia Tnani
Type: User
Name: Hedia Tnani
Type: User
Machine learning course materials
Documenting my python implementation of Andrew Ng's Machine Learning course
Course materials for M-5072 Fall 2018 at the Harvard Extension School
4-hour tutorial on machine learning in R: knn, decision trees, random forest, boosting, superlearner
A complete ML study path, focused on TensorFlow and Scikit-Learn
Learn Machine Learning using PySpark from scratch
http://cs.ucu.edu.ua/en/winterschool/about/
A collection of machine learning examples and tutorials.
D-Lab's Machine Learning Working Group at UC Berkeley
Summary of training offered by the Harvard Chan Bioinformatics Core
MapReduce exercices sample
Course contents for Master the Tidyverse
Student downloads for the Master the Tidyverse Workshop
Berkeley MATH 127 Mathematical and Computational Methods in Molecular Biology, taught by Dr. David Dynerman, Fall 2017
The github repository for mathematical biostatistics bootcamp 2
R-Ladies Buenos Aires recursos
Melbourne Bioinformatics documentation in markdown format
Scripts and utilities for running metagenomic analyses
Materials on the analysis of microarray expression data; focus on re-analysis of public data ( http://tinyurl.com/cruk-microarray)
Practice Multi-Platform Microarray Tutorial
Process RNA-seq data with Subread on RCC Midway
MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville
my notes for the homework
Classifying prostate cancer, ovarian cancer, and control by looking 10,000 attributes from mass-spectrometric data in 900 subjects
Use machine learning technique to classify cancers using high dimensional RNA microarray dataset
practical guides, tutorials, and code samples for ml4a
Additional files for our research article (DOI: 10.3389/fgene.2018.00297)
Machine Learning Problem Bible | Problem Set Here >>
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.