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/amazon-comprehend-custom-entity
Notebooks and recipes for creating custom entity recognizer for Amazon comprehend.
krprls/AmazonSageMakerCourse
SageMaker Course Material
krprls/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
krprls/AWS
This repository consists of useful links for study materials for those aspiring carrer in AWS
krprls/AWS-Certified-Solutions-Architect-Associate-2019
AWS Certified Solutions Architect Associate 2019 exam preparation
krprls/aws-solutions-architect-associate-notes
My notes for AWS Solutions Architect Associate.
krprls/awslambda
AWS Lambda
krprls/az2tf
See the new version here:
krprls/bcbio-nextgen
Validated, scalable, community developed variant calling, RNA-seq and small RNA analysis
krprls/BigData-Lab
krprls/c9-python-getting-started
Sample code for Channel 9 Python for Beginners course
krprls/convnetjs
Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.
krprls/data-validation
Library for exploring and validating machine learning data
krprls/Deep-Learning-with-PyTorch
Deep Learning with PyTorch
krprls/deeplearning-models
A collection of various deep learning architectures, models, and tips
krprls/Hands-On-Exploratory-Data-Analysis-with-R
Hands-On-Exploratory-Data-Analysis-with-R, published by Packt
krprls/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
krprls/igsr_analysis
This repo contains code that is relevant for the analysis (Mapping, BAM qc, Variant Calling, Filtering etc...) of IGSR data
krprls/Immersive-Data-Analytics-Boot-Camp
krprls/kedro-mlflow-example
krprls/kubeflow-tfx-workshop
Hands-on Learning with KubeFlow + Keras/TensorFlow 2.0 + TF Extended (TFX) + Kubernetes + Airflow + Jupyter
krprls/kubeflow-tools
Simple scripts and instructions for getting the most out of your kubeflow cluster. Use kubernetes-tools to setup and manage Kubernetes using Microk8s or Charmed Kubernetes.
krprls/machine-learning-workshop-online
Cassandra + Spark = ❤️ Machine Learning with Apache Spark & Cassandra
krprls/openintro-r-package
R Package: openintro
krprls/pandas-videos
Jupyter notebook and datasets from the pandas Q&A video series
krprls/phuse-scripts
Delivery standard industry analyses, built upon CDISC standards for analysis data
krprls/pipeline
PipelineAI: Real-Time Enterprise AI Platform
krprls/python-dictionaries-readme-ds-apply-000
krprls/shiny.info
Display simple diagnostic info of your Shiny app
krprls/tutorial