Exploring-NBA-2013-Dataset with Machine Learning
Goal:
- The objective of this Notebook is to:
- Cluster players with the same features as present in the dataset.
- Predict the Points of Player using Linear Regression.
Data Exploration
- Find out data variables and their mean points.
- Find out relation between different feautures.
- Get the numeric data and remove the nan values.
Clustering
- Cluster players using KMeans clustering.
- Created 5 clusters.
- Plot the players by Cluster using PCA(Principal Component Analysis, it is dimensionaluty reducing algorithm), we have plotted 2 dimensional clusters here.
Results of Clustering
- We found out the clusters in which players like LeBron James and Kevin Durant belong to.
- Created a data frame which grouped labels(cluster number)against each player.
Predicting points of players.
- We predict the points by each player based on Free throws attempted, field goals attempted and 3 point shots attempted.
