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Resources for developers using Python for scientific computing and quantitative analysis

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Latest Resources in Machine Learning

Machine Learning

Build a fully production ready machine learning app with Python Django, React, and Docker towardsdatascience.com

Published October 1, 2020 under Web Development

Build a fully production ready machine learning app with Python Django, React, and Docker

A complete, step by step guide to building a production-grade machine learning app with Django, PostgreSQL, React, Redux and Docker

Machine Learning, ReactJS

Machine Learning from Scratch github.io

Published September 20, 2020 under Data Science

Machine Learning from Scratch

This book covers the building blocks of the most common methods in machine learning. This set of methods is like a toolbox for machine learning engineers. Those entering the field of machine learning should feel comfortable with this toolbox so they have the right tool for a variety of tasks. Each chapter in this book corresponds to a single machine learning method or group of methods. In other words, each chapter focuses on a single tool within the ML toolbox.

Ebook, Free, Machine Learning

Building a Neural Network to Predict Loan Risk tymick.me

Published August 19, 2020 under Quant Finance

Building a Neural Network to Predict Loan Risk

LendingClub is the world’s largest peer-to-peer lending platform. Until recently (through the end of 2018), LendingClub published a public dataset of all loans issued since the company’s launch in 2007.

Machine Learning, Neural Network

NumPy Fundamentals for Data Science and Machine Learning github.io

Published July 28, 2020 under Python

NumPy Fundamentals for Data Science and Machine Learning

This post reviews NumPy main components and functionality, with attention to the needs of Data Science and Machine Learning practitioners, and people who aspire to become a data professional. 

Data Science, Machine Learning, Numpy

Deploy Machine Learning Models with Django deploymachinelearning.com

Published November 28, 2019 under Web Development

What it says on the tin.

Django, Machine Learning

Turbo-Charging Data Science with AutoML brighttalk.com

Published September 27, 2019 under Python

Although there are an increasing number of commercial AutoML products, the open-source ecosystem has been innovating here as well. In the early days of the AutoML movement, the focus was on those looking to leverage the power of ML models without a background in data science – citizen data scientists. Today, however, AutoML tools have a lot to offer experts too. 

Machine Learning

Train, Compare, Deploy: Logistic Regression in 8 Minutes loominus.ai

Published August 19, 2019 under Data Science

Loominus co-founder Hung Luu shows you how to train, compare and deploy a logistic regression model in eight minutes using Learner and Modops.

Machine Learning

The Data Training/Test Split: Are You Doing it Right? loominus.ai

Published August 17, 2019 under Data Science

One of the most common mistakes data scientists make when training machine learning models is incorrectly splitting data for training and testing. The train/test split involves splitting data during the model training and evaluation process.

Learner makes this simple with a single parameter selection during the model building process. It’s also simple to set the percentage split between training and testing data for each model trained. 

Feature Engineering, Machine Learning

Image Classification with Transfer Learning and PyTorch stackabuse.com

Published August 10, 2019 under Neural Networks

Transfer learning is a powerful technique for training deep neural networks that allows one to take knowledge learned about one deep learning problem and apply it to a different, yet similar learning problem.

Using transfer learning can dramatically speed up the rate of deployment for an app you are designing, making both the training and implementation of your deep neural network simpler and easier.

Deep Learning, Machine Learning, PyTorch, Transfer Learning

Keras Learning Rate Finder pyimagesearch.com

Published August 10, 2019 under Computer Vision

In this tutorial, you will learn how to automatically find learning rates using Keras. This guide provides a Keras implementation of fast.ai’s popular “lr_find” method.

Data Science, Keras, Machine Learning

Searching for Pulsars with Machine Learning medium.com

Published August 10, 2019 under Data Science

Searching for pulsars is a labor-intensive process that requires experienced astronomers and trained volunteers for their classification. In this article, we implement machine learning techniques to facilitate the process.

Computer Vision, Machine Learning

Building data pipelines with Teraport for feature engineering loominus.ai

Published August 3, 2019 under Data Science

Data pipelines are where most of the time is spent for those working with data because the bulk of a machine learning project involves data collection and cleaning. Loominus gives everyone the power to build the data pipelines critical to any machine learning project. 

Teraport is a powerful tool within the Loominus product suite that ingests and stages data. In another post, we’ll discuss the data ingestion APIs. For now we’ll focus on building a powerful data pipeline for feature engineering.

Feature Engineering, Machine Learning

Python for NLP: Introduction to the Pattern Library stackabuse.com

Published May 3, 2019 under Data Science

The Pattern library is a multipurpose library capable of handling the following tasks:

  • Natural Language Processing: Performing tasks such as tokenization, stemming, POS tagging, sentiment analysis, etc.
  • Data Mining: It contains APIs to mine data from sites like Twitter, Facebook, Wikipedia, etc.
  • Machine Learning: Contains machine learning models such as SVM, KNN, and perceptron, which can be used for classification, regression, and clustering tasks.

In this article, we will see the first two applications of the Pattern library from the above list. We will explore the use of the Pattern Library for NLP by performing tasks such as tokenization, stemming and sentiment analysis. We will also see how the Pattern library can be used for web mining.

Machine Learning, NLP

End-To-End Topic Modeling in Python towardsdatascience.com

Published April 26, 2019 under Data Science

Topic Model: In a nutshell, it is a type of statistical model used for tagging abstract “topics” that occur in a collection of documents that best represents the information in them.

Many techniques are used to obtain topic models. This post aims to demonstrate the implementation of LDA: a widely used topic modeling technique.

Machine Learning, NLP, Topic Modelling

Random Forests for Complete Beginners victorzhou.com

Published April 15, 2019 under Data Science

Machine Learning, Random Forest

Machine Learning for Beginners: An Introduction to Neural Networks victorzhou.com

Published March 9, 2019 under Neural Networks

AI, Deep Learning, Machine Learning

Keras Conv2D and Convolutional Layers pyimagesearch.com

Published January 3, 2019 under Computer Vision

Keras, Machine Learning, Python

Keras – Save and Load Your Deep Learning Models pyimagesearch.com

Published December 16, 2018 under Computer Vision

Keras, Machine Learning, Python

Michelangelo PyML: Introducing Uber’s Platform for Rapid Python ML Model Development uber.com

Published December 16, 2018 under Data Science

Machine Learning, Python, Uber

Deep Learning and Medical Image Analysis with Keras pyimagesearch.com

Published December 6, 2018 under Computer Vision

Keras, Machine Learning, Python

Beginner tutorial: Build your own custom real-time object classifier towardsdatascience.com

Published November 20, 2018 under Computer Vision

Machine Learning, Python

Keras vs. TensorFlow pyimagesearch.com

Published October 11, 2018 under Data Science

Keras, Machine Learning, Python, TensorFlow

OpenCV OCR and text recognition with Tesseract pyimagesearch.com

Published September 25, 2018 under Computer Vision

Machine Learning, OpenCV, Python

Deep Learning Tutorial to Calculate the Screen Time of Actors in any Video analyticsvidhya.com

Published September 17, 2018 under Computer Vision

Data Science, Machine Learning, Python

How to get started with Keras, Deep Learning, and Python pyimagesearch.com

Published September 17, 2018 under Computer Vision

Deep Learning, Keras, Machine Learning

Using featuretools in Python for Classification medium.com

Published September 7, 2018 under Data Science

Feature Engineering, featuretools, Machine Learning

An Implementation and Explanation of the Random Forest in Python towardsdatascience.com

Published September 7, 2018 under Data Science

Machine Learning, Random Forest

Demystifying Convolutional Neural Networks medium.com

Published September 7, 2018 under Neural Networks

Machine Learning, Python

OpenCV Text Detection (EAST text detector) pyimagesearch.com

Published August 27, 2018 under Computer Vision

Machine Learning, NLP, Python

Building a Hotel Recommendation Engine towardsdatascience.com

Published August 18, 2018 under Data Science

Machine Learning, Python

Linear compression in Python: PCA vs unsupervised feature selection efavdb.com

Published August 13, 2018 under Data Science

Machine Learning, PCA, Python

Face clustering with Python pyimagesearch.com

Published July 13, 2018 under Computer Vision

Machine Learning, Python

Getting Started with PyTorch towardsdatascience.com

Published April 6, 2018 under Data Science

Machine Learning, Python, PyTorch

Machine Learning Crash Course developers.google.com

Published March 2, 2018 under Data Science

Google, Machine Learning, Python, TensorFlow

Machine Learning with TensorFlow amazon.com

Published February 19, 2018 under Books

Machine Learning with TensorFlow

Machine Learning, Python, TensorFlow

Build a Neural Network with Python enlight.nyc

Published February 16, 2018 under Python

Machine Learning, Neural Network

Moviebox: CLI Machine Learning Movie Recommender in Python github.com

Published January 29, 2018 under Computer Vision

Machine Learning, Neural Network, Python

How to build your own AlphaZero AI using Python and Keras medium.com

Published January 28, 2018 under Python

Deep Learning, Keras, Machine Learning, Neural Network

Introduction To Machine Learning K-Nearest Neighbors (KNN) Algorithm In Python quantinsti.com

Published January 26, 2018 under Python

Machine Learning, Nearest Neighbor, Quant Finance

Make Your Own Neural Network amazon.com

Published January 26, 2018 under Books

Make Your Own Neural Network

Machine Learning, Neural Network

Improving the Random Forest in Python Part 1 towardsdatascience.com

Published January 25, 2018 under Data Science

Machine Learning, Random Forest

Generating Music Using Markov Chains medium.com

Published January 24, 2018 under Python

Machine Learning, Markov Chains

2018 new year resolutions to thrive in an Algorithmic World datahub.packtpub.com

Published January 23, 2018 under Education

Machine Learning, Python

Fast and Accurate Face Tracking in Live Video with Python codemade.io

Published January 23, 2018 under Neural Networks

Deep Learning, Machine Learning, Python

Data Science in Production: Packaging, Versioning and Continuous Integration www.florianwilhelm.info

Published January 23, 2018 under Data Science

Devops, Machine Learning

Deep Learning with Python amazon.com

Published January 23, 2018 under Books

Deep Learning with Python

Deep Learning, Machine Learning, Python

Learn Data Science with Python 3 & scikit-learn udemy.com

Published January 22, 2018 under Python

Data Science, Data Visualization, Machine Learning, scikit-learn

pyGAM: Getting Started with Generalized Additive Models in Python codeburst.io

Published January 9, 2018 under Machine Learning

GAM, Machine Learning, Python

Neural Style Transfer in Python sandipanweb.wordpress.com

Published January 9, 2018 under Machine Learning

Machine Learning, Python, TensorFlow

Learning Curves for Machine Learning dataquest.io

Published January 9, 2018 under Python

Machine Learning, Python

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