Interactive Dashboard for NBA stat visualizations
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Updated
May 24, 2022 - JavaScript
Interactive Dashboard for NBA stat visualizations
🏀 A helpful React site to search for NBA players by specific categories
NBA statistics website using the balldontlie API - made with Django,
NBA Discord Bot made with Python and Discord.py
Web app to track the NBA salary cap totals for every team.
Classification on the Kobe Bryant Shot Selection dataset (https://www.kaggle.com/c/kobe-bryant-shot-selection/data) using Decision Trees
Using the nba_api to delve into interesting statistics!
NBA Dashboard using Dash and Plotly
web scrapes performed for Kaggle datasets.
I wanted to find out: Do NBA teams in the regular season only care about defense in the 4th quarter? -->Statistical analysis of 4th quarter in comparison to the first three quarters. The data are from the 2019/2020 NBA season
NBA Player of the Week Visualizations using ggplot
NBA Player of the Week & Salary Prediction using Scikit-learn
A wrapper API for data.nba.net written in Elixir
Find basketball players with similar shot charts
Estimating player value based on Win Share and Salary data
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