htnani Goto Github PK

machine-learning

Machine learning course materials

machine-learning-1

machine-learning-by-andrew-ng-in-python

Documenting my python implementation of Andrew Ng's Machine Learning course

machine-learning-course-2018

Course materials for M-5072 Fall 2018 at the Harvard Extension School

machine-learning-in-r

4-hour tutorial on machine learning in R: knn, decision trees, random forest, boosting, superlearner

machine-learning-study-path

A complete ML study path, focused on TensorFlow and Scikit-Learn

machine-learning-using-pyspark

Learn Machine Learning using PySpark from scratch

machine-learning-winter-school

http://cs.ucu.edu.ua/en/winterschool/about/

machinelearningwg

D-Lab's Machine Learning Working Group at UC Berkeley

machine_learning_examples

A collection of machine learning examples and tutorials.

main

Summary of training offered by the Harvard Chan Bioinformatics Core

map-reduce-sample

MapReduce exercices sample

master-the-tidyverse

Course contents for Master the Tidyverse

master-the-tidyverse-1

Student downloads for the Master the Tidyverse Workshop

mathematicsbiostatisticsbootcamp2

The github repository for mathematical biostatistics bootcamp 2

math_127

Berkeley MATH 127 Mathematical and Computational Methods in Molecular Biology, taught by Dr. David Dynerman, Fall 2017

meetup-presentations_buenosaires

R-Ladies Buenos Aires recursos

melbioinf_docs

Melbourne Bioinformatics documentation in markdown format

metabolomicsregression

metagenomics

Scripts and utilities for running metagenomic analyses

microarray-analysis

Materials on the analysis of microarray expression data; focus on re-analysis of public data ( http://tinyurl.com/cruk-microarray)

microarray-tutorials

Practice Multi-Platform Microarray Tutorial

midway-subread-pipeline

Process RNA-seq data with Subread on RCC Midway

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

mit6.00.1x-introduction-to-computer-science-and-programming-using-python

my notes for the homework

ml-mass-spectrometry

Classifying prostate cancer, ovarian cancer, and control by looking 10,000 attributes from mass-spectrometric data in 900 subjects

ml-rna-microarray

Use machine learning technique to classify cancers using high dimensional RNA microarray dataset

ml4a-guides

practical guides, tutorials, and code samples for ml4a

mlpb

Machine Learning Problem Bible | Problem Set Here >>

ml_rna-seq

Additional files for our research article (DOI: 10.3389/fgene.2018.00297)