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ciml

A Course in Machine Learning

comtube

dash

Analytical Web Apps for Python & R. No JavaScript Required.

data-visualization

Data Visualization with Python

datavisualization

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

deep-learning-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

deep-learning-coursera-1

Deep Learning Specialization by Andrew Ng on Coursera.

deep-reinforcement-learning-book

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

deep-reinforcement-learning-hands-on

Hands-on Deep Reinforcement Learning, published by Packt

deeprecsys

Repository to collect my experiment for an hybrid recommender system, based on Keras

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

dlnotebooks

INACTIVE - please go to https://gitlab.com/juliensimon/dlnotebooks

dlrm

An implementation of a deep learning recommendation model (DLRM)

dockerapp

Source code for James Lee's Docker course

easy-scraping-tutorial

Simple but useful Python web scraping tutorial code.

econml

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

econometria-wooldridge

Exercícios do Livro Introduction to Econometrics - Jeffrey Wooldridge

econometricswithr

📖An interactive companion to the well-received textbook 'Introduction to Econometrics' by Stock & Watson (2015)

evaluating-multi-class-classifiers

Content and associated scripts for a article on evaluating multi-class classifier for an internal journal

everydayrails-rspec-2017

exploringdatawithpython

Methods of data exploration and visualization using Python.

expression-evaluation

A python script for conversion of arithmetic expressions from infix notation to Reverse Polish Notation (RPN) using Dijkstra's Shunting Yard Algorithm

flask-surprise-recsys

geocompr

Open source book: Geocomputation with R

get_old_tweets

A guide for downloading Twitter data using the Python package GetOldTweets

grokking_algorithms

Code for the book Grokking Algorithms (https://amzn.to/29rVyHf)

image-clustering

This is a simple image clustering algorithm which uses KMeans for clustering and performs 3 types of vectorization using vgg16, vgg19 and resnet50 using the weights from ImageNet

image-similarity-clustering

This project allows images to be automatically grouped into like clusters using a combination of machine learning techniques.

implicit

Fast Python Collaborative Filtering for Implicit Feedback Datasets

introduction-to-python-numerical-analysis-for-engineers-and-scientist

Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with Python.