Data Science and ML in Cricket

 Objective of the data science in cricket  - Increate team performance  - Maximiser winning chances  Here's a simplified version: --- The IPL has expanded cricket, increasing the number of matches and the amount of data collected. Modern cricket data analysis involves tracking various factors like player positions, ball movements, shot types, delivery angle, spin, speed, and trajectory, which makes data cleaning and preprocessing more complex. **Dynamic Modeling** In cricket, numerous variables must be tracked, including player actions, ball attributes, and potential outcomes. The complexity of modeling depends on the type of predictive questions asked. Predictive models become especially challenging when analyzing hypothetical scenarios, like how a batsman’s shot might change with different ball angles or speeds. **Predictive Analytics Complexity** Cricket decision-making often relies on queries like "how often does a batsman play a specific shot against a certain b...
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Data Analysis using Excel

Data Analysis With Excel 
Image result for excel data analysis
How to use excel for Data Analysis ?

Methods to use 

  1.  Sort :- Sorting your data from multiple datasets.
  2.  Filter :- Filter for specified value 
  3. Conditonal Formatting:-Arranage or highlight data using the condition format.
  4. Chart:-Visualize your data 
  5. Pivot Tables:-Prepare data with required fields
  6. Tables:-Table to show the proper information 
  7. What-If Analysis:-Format cells using what if 
  8. Solver :- Setting targeting requirement and using the function 
  9. Analysis ToolPak:-Many functions used for data analysis Histogram,Corelation,Varience etc.

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