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2018-developmental-single-cell-rna-sequencing

Scripts for analyzing data from manuscript under revisions

apachespark

This repository will help you to learn about databricks concept with the help of examples. It will include all the important topics which we need in our real life experience as a data engineer.

arima

Simple python example on how to use ARIMA models to analyze and predict time series.

awesome-project-ideas

Curated list of Machine Learning, NLP, Vision, Reinforcement Learning Project Ideas

awesome-single-cell

List of software packages for single-cell data analysis, including RNA-seq, ATAC-seq, etc.

azure-docs

Open source documentation of Microsoft Azure

azure-machinelearning-datascience

azuredatabricksbestpractices

Version 1 of Technical Best Practices of Azure Databricks based on real world Customer and Technical SME inputs

bert

TensorFlow code and pre-trained models for BERT

bigdata-hw-spark

Spark exercises: Spark RDD, SparkSQL, Spark ML pipelines, Spark in Cloud(AWS)

canadapubsecalz

This reference implementation is based on Cloud Adoption Framework for Azure and provides an opinionated implementation that enables ITSG-33 regulatory compliance by using NIST SP 800-53 Rev. 4 and Canada Federal PBMM Regulatory Compliance Policy Sets.

clustering1d-data

Clustering-Excercise-1D-Data

coding-exercises

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

data-analytics-lectures

databricks-apache-spark-2x-certified-developer

Databricks - Apache Spark™ - 2X Certified Developer

databricks-learning

databrickscontent

Examples surrounding Databricks.

datascience

Just some of my junk data science / machine learning experimentation

datasciencer

a curated list of R tutorials for Data Science, NLP and Machine Learning

db-delta

Enablement and examples as they relate to Delta Lake for both the Open Source and Databricks Implementation.

db-mlflow

dbt-learn

deep-learning

dendrosplit

dimensionality-reduction

Implementation of spectral dimensionality reduction algorithms (PCA, MDS, Difussion maps, LLE)

dldiy-practicals

Slides, Jupyter Notebooks and scripts for the Deep Learning: Do-It-Yourself! lectures at ENS

final-proj-demo-01

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

gap

the gap statistics for automatically-finding-K value for K-mean clustering

gap_statistic

Dynamically get the suggested clusters in the data for unsupervised learning.