We found 23 results containing at least one keyword for "Machine Learning".
Scikit-Learn Tutorial: Baseball Analytics in Python Pt 2
A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hal…
Scikit-Learn Tutorial: Baseball Analytics in Python Pt 1
A scikit-learn tutorial to predicting MLB wins per season by modeling data to KMeans clustering model and linear regression models.
Keras Tutorial: Deep Learning in Python
This Keras tutorial introduces you to deep learning in Python: learn to preprocess your data, model, evaluate and optimize neural networks.
New Course: Deep Learning in Python (first Keras 2.0 online course!)
New course released today, and one of the first online interactive deep learning course using keras 2.0, Deep Learning in Python by Dan Be…
New Python Course: Machine Learning with the Experts, School Budgets
Machine Learning with the Experts: School Budgets is our latest course taught by Peter Bull. This course is a case study from a machine le…
Apache Spark in Python: Beginner's Guide
A beginner's guide to Spark in Python based on 9 popular questions, such as how to install PySpark in Jupyter Notebook, best practices,...
DataChats: An Interview with Andreas Müller
Today we're releasing episode 15 of DataChats. Here, Hugo interviews Andreas Müller about his work at Columbia University, and as a contri…
Deep Learning With Jupyter Notebooks In The Cloud
This step-by-step tutorial will show you how to set up and use Jupyter Notebook on Amazon Web Services (AWS) EC2 GPU for deep learning.
New Course: Supervised Learning with scikit-learn
New course on Supervised Learning with scikit-learn taught by Andreas Müller! Become a machine learning master with this course.