Pinned Repositories
100-Days-Of-ML-Code
100 Days of ML Coding
1999_Czech_financial_dataset_Teradata
Real world transactions in the years 1993 to 1999 from a Czech bank, modified for loading into Teradata.
2015
Public material for CS109
2017-August-Variant-Analysis-Workshop
2018-August-Variant-Analysis-Workshop
26-Weeks-Of-Data-Science
Email Newsletter
AdventureWorksDW_Teradata
A port of Microsoft's AdventureWorks DW 2014 demo database to Teradata.
AICamp
AIX360
Interpretability and explainability of data and machine learning models
tech-talks
This repository contains the notebooks and presentations we use for our Databricks Tech Talks
krprls's Repositories
krprls/100-Days-Of-ML-Code
100 Days of ML Coding
krprls/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until at-least 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! 😀)
krprls/awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
krprls/awesome-public-datasets
A topic-centric list of HQ open datasets. PR ☛☛☛
krprls/AWS-CSA-2019-study-notes
My Study Notes for the AWS Certified Solutions Architect - Associate 2019
krprls/Books
Collection of Programming, Databases, Linux & Tools Books
krprls/Computer-Vision-and-Deep-Learning-Setup
Tutorial on how to setup your system with a NVIDIA GPU and to install Deep Learning Frameworks like TensorFlow, Darknet for YOLO, Theano, and Keras; OpenCV; and NVIDIA drivers, CUDA, and cuDNN libraries on Ubuntu 16.04, 17.10 and 18.04.
krprls/computer-vision-guide
:book: This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.
krprls/Data-Science
krprls/Data-Science--Cheat-Sheet
Cheat Sheets
krprls/datasharing
The Leek group guide to data sharing
krprls/Deep-Learning-for-Medical-Applications
Deep Learning Papers on Medical Image Analysis
krprls/deep-review
A collaboratively written review paper on deep learning, genomics, and precision medicine
krprls/deepvariant
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
krprls/educate-resource-for-machine-learning
This ebook from Jason Brownlee. Educational perpose only! Thanks to Jason for the books.
krprls/five-dollar-genome-analysis-pipeline
Workflows used for germline short variant discovery in WGS data
krprls/gatk4-somatic-cnvs
Workflows for somatic copy number variant discovery with GATK4
krprls/handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
krprls/In-depth-NGS-Data-Analysis-Course
Materials for 12-day course on analyzing RNA-Seq, ChIP-Seq and variant calling data.
krprls/machine-learning-books
this is a fork of collection of books for machine learning.
krprls/matplotlib
matplotlib: plotting with Python
krprls/models
Sample Models for PipelineAI
krprls/pandas
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
krprls/Python-for-Data-Science-and-Machine-Learning-Bootcamp
program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning: Programming with Python NumPy with Python Using pandas Data Frames to solve complex tasks Use pandas to handle Excel Files Web scraping with python Connect Python to SQL Use matplotlib and seaborn for data visualizations Use plotly for interactive visualizations Machine Learning with SciKit Learn, including: Linear Regression K Nearest Neighbors K Means Clustering Decision Trees Random Forests Natural Language Processing Neural Nets and Deep Learning Support Vector Machines and much, much more!
krprls/scikit-learn
scikit-learn: machine learning in Python
krprls/seqCAT
A Bioconductor R-package for cell evaluation, characterisation and authentication using high throughput sequencing data.
krprls/spark
Apache Spark
krprls/StructuralVariantAnnotation
R package designed to simplify structural variant analysis
krprls/Tableau-Public-submitted-projects
krprls/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)