thrinu Goto Github PK

aind-isolation

aind-planning

amazon-kinesis-agent

Continuously monitors a set of log files and sends new data to the Amazon Kinesis Stream and Amazon Kinesis Firehose in near-real-time.

anomalydetection

Anomaly Detection with R

awesome-sentiment-analysis

Repository with all what is necessary for sentiment analysis and related areas

aws-cloudformation-templates

A collection of useful CloudFormation templates

basic_model_scratch

Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library

caret

caret (Classification And Regression Training) R package that contains misc functions for training and plotting classification and regression models

cfn-python-lint

CloudFormation Linter

cortana-intelligence-gallery-content

Tutorials and sample code shown in the Cortana Analytics Gallery (https://gallery.cortanaanalytics.com)

data-science-blogs

A curated list of data science blogs

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

deepvideoanalytics

A highly configurable visual search & analytics platform for images and videos.

exploratory_func

R functions for Exploratory

flog

:tophat: A fake log generator for common log formats

freecodecamp

The https://freeCodeCamp.com open source codebase and curriculum. Learn to code and help nonprofits.

g-means

gensim

Topic Modelling for Humans

googlelanguager

R client for the Google Translation API, Google Cloud Natural Language API and Google Cloud Speech API

handle_class_imbalance_data

Imbalanced data refers to classification problems where one class outnumbers other class by a substantial proportion. Extreme imbalance data can be seen in banking or financial data.

hmisc

Harrell Miscellaneous

implicit

Fast Python Collaborative Filtering for Implicit Datasets

isl

Knowledge Vault for Introduction to Statistical Learning

itaur

Introduction to Text Analysis Using R

justenoughscalaforspark

A tutorial on the most important features and idioms of Scala they you need to use Spark's Scala APIs.

learning-ai-if-you-suck-at-math

math-of-machine-learning-course-by-siraj

Implements common data science methods and machine learning algorithms from scratch in python. Intuition and theory behind the algorithms is also discussed.

mlalgorithms

Minimal and clean examples of machine learning algorithms

multi-layer-convnet

A multi-layer convnet