by Karlijn Willems | January 12, 2017 This post originally appeared on the DataCamp blog. Big thanks to Karlijn and all the fine folks at DataCamp for letting us share with the Yhat audience! Scikit-Learn library Most of you who are learning data science with Python will have definitely heard already about scikit-learn, the open […]
Author: yhat
Three Ways to Install Python on your Windows Computer
by Elise | January 10, 2017 Intro Python is a widely used general-purpose programming language. It’s a great tool for data scientists for data exploration, visualization and analysis. I didn’t start learning Python until I’d already learned another language for analytics called SAS, which is popular in academia. I started learning Python online using DataCamp, […]
Yhat Whitepaper: Data Science in Practice
This blogpost is an excerpt of our most popular whitepaper about how data science gets applied in the real world. You can also download the full whitepaper PDF if you’d like. What it’s About In this whitepaper we introduce five common applications of data science that build upon that definition and goal. We debunk the […]
“How I Interview Data Scientists” with Matt Fornito
by Matt Fornito | December 13, 2016 This interview is featured in Springboard’s guide to data science interviews. Matt is also a mentor for Springboard’s Data Science Career Track, the first data science bootcamp to guarantee a job after graduation. About Matt: Matt is the President & Founder of Summit Analytics. He has over ten […]
Pandas Cheat Sheet for Data Science in Python
by Karlijn Willems | November 30, 2016 This post originally appeared on the DataCamp blog. Big thanks to Karlijn and all the fine folks at DataCamp for letting us share with the Yhat audience! Pandas library The Pandas library is one of the most preferred tools for data scientists to do data manipulation and analysis, […]
Lumiata Uses Yhat Platform to Deliver AI-Powered Health Predictions
by Newswire | November 21, 2016 Yhat’s ScienceOps Solves Language Incompatibilities between Artificial Intelligence Algorithms and Digital Applications Yhat, a software company working to bridge the technological divide between data scientists and engineers, announced today that Lumiata, the AI-powered predictive analytics company, has implemented Yhat’s machine learning deployment platform, ScienceOps. Yhat’s ScienceOps allows data scientists […]
Random Forests in Python
Random forest is a highly versatile machine learning method with numerous applications ranging from marketing to healthcare and insurance. It can be used to model the impact of marketing on customer acquisition, retention, and churn or to predict disease risk and susceptibility in patients. Random forest is capable of regression and classification. It can handle […]
Predicting the Presidential Election
With the presidential election less than a week out, I thought it would be fun to make my own predictions about the race. There are plenty of blog and websites that forecast the election, but there aren’t that many that tell you how exactly their “secret models” work OR show you how to do it […]
Interview with a Data Scientist: Greg Linden
Interview with a Data Scientist: Greg Linden
Classifying handwritten digits using TensorFlow
Classifying handwritten digits using TensorFlow
Analyzing 50k fonts using deep neural networks
Analyzing 50k fonts using deep neural networks
Image Recognition in Python with Keras
Image Recognition in Python with Keras
pandasql: Make python speak SQL
Introduction One of my favorite things about Python is that users get the benefit of observing the R community and then emulating the best parts of it. I’m a big believer that a language is only as helpful as its libraries and tools. This post is about pandasql, a Python package we (Yhat) wrote that […]
[Infographic] Guide to Data Science Interviews
[Infographic] Guide to Data Science Interviews
Python UDFs in Amazon Redshift
Python UDFs in Amazon Redshift