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amazon-sagemaker-examples

Example notebooks that show how to apply machine learning, deep learning and reinforcement learning in Amazon SageMaker

ambari-zeppelin-service

Ambari service for Apache Zeppelin notebook

awesome-azure-advanced-analytics

Awesome big data and advanced analytics resources for the Microsoft Azure Cloud

causalml_nbp

Uplift modeling and causal inference with machine learning algorithms

cla

An Open-Source Implementation of the Critical-Line Algorithm for Portfolio Optimization

conformal-predictionanastasiosstephen

Lightweight, useful implementation of conformal prediction on real data.

covid-19-data

Data on COVID-19 (coronavirus) cases, deaths, hospitalizations, tests • All countries • Updated daily by Our World in Data

dataweek

dlaicourse

Notebooks for learning deep learning

facebook-page-post-scraper

Data scraper for Facebook Pages, and also code accompanying the blog post How to Scrape Data From Facebook Page Posts for Statistical Analysis

feature-engineering-tutorials

Data Science Feature Engineering and Selection Tutorials

featurewiz

Use advanced feature engineering strategies and select best features from your data set with a single line of code.

gc-significance-test

The significance test for Granger causality of financial risks in stock indices

geo-learn

This is a collection scripts and tools intended to provide a template on how to integrate and apply Scikit-Learn with ArcGIS Pro. The tools distributed enable access to various machine learning algorithms through scripting tools in the geo-learn toolbox. The tools largely work by passing geographic coordinates and related data to be clustered or analyzed to help with spatial analysis tasks, data reduction, or cartography. In addition, the tool sets include regression analysis tools for exploring different Scikit-Learn model's ability to provide predictive analysis.

geolocation

A simple script used to get geolocation information from Google. There also sample how you can invoke python script from R and get the results display in your R console.

gojek-geospatial-clustering-presentation

Deploying the first python service in GOJEK: Geospatial clustering

handson-ml3_dakmatt

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.

learningfeatures

malay_text_classification

A description notebook on the text_classification and twitter sentiment analysis

malaya

Natural-Language-Toolkit for bahasa Malaysia, https://malaya.readthedocs.io/

malaya-dataset

Text corpus for Bahasa Malaysia, https://malaya.readthedocs.io/en/latest/Dataset.html

malaya-speech

Speech Toolkit for bahasa Malaysia, https://malaya-speech.readthedocs.io/

manb1123

Lecture Notes for Course: Business Statistics for Data Science

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mlfinlab

MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

natural-language-understanding-nodejs

:new: Demo code for the Natural Language Understanding Service.

nyc_taxi_trip_duration

Kaggle Challenge

projects-in-machine-learning-and-ai

randomforestmakesimple

robosat-viz

Visualization of Robosat🤖 trained imagery