Sports Archives - Analytics Vidhya

Intermediate, Machine Learning, Python, Resource, Sports, Structured Data, Technique
The Data Science behind IPL

Ronil Patil, May 19, 2021
Advanced, NLP, Sports, Technique, Text, Unsupervised, Use Cases
Text Mining Simplified – IPL 2020 Tweet Analysis with R

Samprita Das, November 10, 2020
Beginner, Python, Sports, Statistics, Structured Data, Technique
Bet Wisely: Predicting the Scoreline of a Football Match using Poisson Distribution

Adrish Bir, October 24, 2020
Advanced, Computer Vision, Image, Object Detection, Object Tracking, Python, Sports, Technique, Unstructured Data, Unsupervised
Howzatt! How to Build Your Own Ball Tracking System for Cricket

Aravind Pai, March 31, 2020
Beginner, Data Exploration, Data Visualization, Python, Sports, Technique, Unstructured Data
Sports Analytics – Generating Actionable Insights using Cricket Commentary

Aravind Pai, February 24, 2020
Data Exploration, Graph Theory, Graphs & Networks, Intermediate, Project, Python, Sports, Technique, Unstructured Data
Who is the Best IPL Batsman to Bat with? Finding the Answer with Network Analysis

Prateek Joshi, February 4, 2020
Artificial Intelligence, Data Science, Intermediate, Maths, Probability, Reinforcement Learning, Sports, Statistics
Game Theory 101: Decision Making in a Competitive Scenario using Normal Form Games

Sharoon Saxena, December 10, 2019
Beginner, Big data, Classification, Data Engineering, Libraries, Machine Learning, Python, Spark, Sports, Structured Data
Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark

LAKSHAY ARORA, November 19, 2019
Audio, Audio Processing, Intermediate, Project, Python, Sports, Technique, Unsupervised
Become a Video Analysis Expert: A Simple Approach to Automatically Generating Highlights using Python

Aravind Pai, September 9, 2019
Data Mining, Intermediate, Machine Learning, Project, Python, Sports, Structured Data
Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify

Guest Blog, May 8, 2019

The Data Science behind IPL

Ronil Patil, May 19, 2021

Text Mining Simplified – IPL 2020 Tweet Analysis with R

Samprita Das, November 10, 2020

Bet Wisely: Predicting the Scoreline of a Football Match using Poisson Distribution

Adrish Bir, October 24, 2020

Howzatt! How to Build Your Own Ball Tracking System for Cricket

Aravind Pai, March 31, 2020

Sports Analytics – Generating Actionable Insights using Cricket Commentary

Aravind Pai, February 24, 2020

Who is the Best IPL Batsman to Bat with? Finding the Answer with Network Analysis

Prateek Joshi, February 4, 2020

Game Theory 101: Decision Making in a Competitive Scenario using Normal Form Games

Sharoon Saxena, December 10, 2019

Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark

LAKSHAY ARORA, November 19, 2019

Become a Video Analysis Expert: A Simple Approach to Automatically Generating Highlights using Python

Aravind Pai, September 9, 2019

Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify

Guest Blog, May 8, 2019

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Category: Sports

The Data Science behind IPL

Ronil Patil, May 19, 2021

Text Mining Simplified – IPL 2020 Tweet Analysis with R

Samprita Das, November 10, 2020

Bet Wisely: Predicting the Scoreline of a Football Match using Poisson Distribution

Adrish Bir, October 24, 2020

Howzatt! How to Build Your Own Ball Tracking System for Cricket

Aravind Pai, March 31, 2020

Sports Analytics – Generating Actionable Insights using Cricket Commentary

Aravind Pai, February 24, 2020

Who is the Best IPL Batsman to Bat with? Finding the Answer with Network Analysis

Prateek Joshi, February 4, 2020

Game Theory 101: Decision Making in a Competitive Scenario using Normal Form Games

Sharoon Saxena, December 10, 2019

Want to Build Machine Learning Pipelines? A Quick Introduction using PySpark

LAKSHAY ARORA, November 19, 2019

Become a Video Analysis Expert: A Simple Approach to Automatically Generating Highlights using Python

Aravind Pai, September 9, 2019

Extracting and Analyzing 1000 Basketball Games using Pandas and Chartify

Guest Blog, May 8, 2019