Keshava Prasad Gubbi's Projects
This repository contains all the required resources regarding the 100+ Days Of ML Code Telgram Group which was driven by me from 1-1-2019 to 31-12-2019 !!
Data Science in Python course by Data Science Academy at AstraZeneca
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Lab website for AG Hornef, Uniklinik Aachen
Repo for TotalRNASeq Pipeline Development for AG Hornef, UK Aachen
Analysis Workflow for Assay for Transposase-Accessible Chromatin using sequencing (ATAC-Seq)
Data Analysis of AZB from her PhD work to compare 13 different strains.
š A ranked list of awesome machine learning Python libraries. Updated weekly.
Bioinformatics one liners from Ming Tang
Computational Genomics book
Teaching materials for the applied machine learning course at Cornell Tech (online edition)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.
Data Science Using Python
10 Weeks, 20 Lessons, Data Science for All!
Deep Learning Specialization by Andrew Ng on Coursera.
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
RNAseq Project to probe the influence of the microbiota and the age of the mice on liver gene expression
Match up paired end fastq files quickly and efficiently.
Detailed and tailored guide for undergraduate students or anybody want to dig deep into the field of AI with solid foundation.
Command-line tools, commands, and code snippets for performing routine data processing and bioinformatics tasks.
This repository has teaching materials for a 2 and 3-day Introduction to RNA-sequencing data analysis workshop using the O2 Cluster
http://tinyurl.com/cruk-stats
Learning DGE with DESeq2
Merge fastq files split over lanes
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
šŗ Discover the latest machine learning / AI courses on YouTube.