NBA-Players-Stats-analysis

A quick interactive Notebook to visualize some NBA players stats (points, assists, steals, blocks...) and totals, rankings and comparisons. Feel free to add any player in the .csv data files. 🏀

Features

Heatmaps:

Players comparison:

Before comparing two players, make sure to run all the cells.

Totals by position:

Players stats prediction

Additional features

Adding new players via the "New player" notebook

How to use

Players_stats analysis notebook

1-Navigate to the desired section (ex: -> Heatmap)

For convenience purposes, all the sections are designed this way.

2-Interact with controls/widgets:

Prediction notebook

Open the notebook, run all the cells and fill the input fields. The prediction and an analysis process will autmatically start/resume.

New player notebook

Open the notebook, run all the cells and fill the input fields. The player will be automatically added

Prerequisites

• Language: Python 3.x or higher
• IDE: Jupyter Lab and Jupyter Lab widgets installed.
• Libraries: Pandas, Matplotlib, NumPy, Seaborn, IPywidgets, IPython, Scikit-learn