nba-basketball-python-knn-tutorial-k-nearest-neighbors

Tutorial: K Nearest Neighbors in Python

In this post, we’ll be using the K-nearest neighbors algorithm to predict how many points NBA players scored in the 2013-2014 season. Along the way, we’ll learn about euclidean distance and figure out which NBA players are the most similar to Lebron James. If you want to follow along, you can grab the dataset in […]

Learn Data Science With Dataquest

Data scientists are in high demand, with compensation in this field averaging upwards of $100,000 in San Francisco. Learn data science and you can become one of the lucky, well-compensated professionals filling the current gap in this field. The first step to learning data science is usually asking “how do I learn data science?”. The […]

us-senators-python-data-tutorial

Tutorial: K-Means Clustering US Senators

Clustering is a powerful way to split up datasets into groups based on similarity. A very popular clustering algorithm is K-means clustering. In K-means clustering, we divide data up into a fixed number of clusters while trying to ensure that the items in each cluster are as similar as possible. In this post, we’ll explore […]

1 10 11 12