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Logistic Regression with Python

Modeling Python Logistic Regression Pythonposted by Ralabs April 11, 2019

Logistic regression was once the most popular machine learning algorithm, but the advent of more accurate algorithms for classification such as support vector machines, random forest, and neural networks has induced some machine learning engineers to view logistic regression as obsolete. Though it may have been overshadowed by more... Read more

Creating Multiple Visualizations in a Single Python Notebook

Data Visualization Modeling Python Tools & Languages Data Visualization Pythonposted by Kailen Santos April 10, 2019

For a data scientist without an eye for design, creating visualizations from scratch might be a difficult task. But as is the case with most problems, a solution awaits thanks to Python. Those drawn to using Python for data analysis have been spoiled, as more advanced libraries have made... Read more

The Anatomy of K-Means Clustering

Modeling Python Tools & Languages Machine Learning Pythonposted by Diego Lopez Yse February 22, 2019

Let’s say you want to classify hundreds (or thousands) of documents based on their content and topics, or you wish to group together different images for some reason. Or what’s even more, let’s think you have that same data already classified but you want to challenge that labeling. You... Read more

The Beginners Guide for Video Processing with OpenCV

Modeling Python Computer Vision Deep Learning Machine Learning Pythonposted by Ralabs January 23, 2019

Computer vision is a huge part of the data science/AI domain. Sometimes, computer vision engineers have to deal with videos. Here, we aim to shed light on video processing – using Python, of course. This might be obvious for some, but nevertheless, video streaming is not a continuous process,... Read more

Which Conference is Best? — College Hoops, Net Rankings and Python

Python Tools & Languages Python Sportsposted by Steve Miller January 18, 2019

For college basketball junkies like me, the season is now shifting into high gear as teams begin serious conference play. At the end of the regular season and conference tournaments, 66 D1 teams — 32 league champions and 34 at large — will receive invitations to March’s national championship... Read more

Handling Missing Data in Python/Pandas

Conferences Modeling Python Tools & Languages Conferences ODSC West Pandas Pythonposted by Daniel Gutierrez, ODSC November 21, 2018

Key Takeaways: It’s important to describe missing data and the challenges it poses. You need to clarify a confusing terminology that further adds to the field’s complexity. You should take the time to review methods for handling missing data. You need to learn how to apply robust multiple imputation... Read more

Exploring Scikit-Learn Further: The Bells and Whistles of Preprocessing

Python Tools & Languages Machine Learning model preprocessing Python Scikit-Learnposted by Spencer Norris, ODSC October 25, 2018

In my previous post, we constructed a simple cross-validated regression model using Scikit-Learn in 35 lines. It’s pretty amazing that we can perform machine learning with so little effort, but we just did the bare minimum in order to get a working model. Frankly, it didn’t even perform that well.... Read more

The Beginner’s Guide to Scikit-Learn

Python Tools & Languages Scikit-Learnposted by Spencer Norris, ODSC October 24, 2018

Scikit-Learn is one of the premier tools in the machine learning community, used by academics and industry professionals alike. At ODSC East 2019, Scikit-Learn author Andreas Mueller will host a training session to give beginners a crash course. As one of the primary contributors to Scikit-Learn, Mueller is one... Read more

All the Best Parts of Pandas for Data Science

Python Pandas Pythonposted by Spencer Norris, ODSC October 15, 2018

Pandas has been hailed by many in the data science community as the missing link between Python and analysis, a tool that can be leveraged in order to dramatically reduce overhead in data science projects, increase understandability and speed up workflows. Pandas comes loaded with a wide range... Read more

TensorLayer for Developing Complex Deep Learning Systems

Pythonposted by Daniel Gutierrez, ODSC October 4, 2018

This article describes TensorLayer, a modular Python wrapper library for TensorFlow allowing data scientists to streamline the development of complex deep learning systems. TensorLayer was released in September 2016 with a GitHub repo. A descriptive research paper followed in August 2017: TensorLayer: A Versatile Library for Efficient Deep Learning... Read more