Comments (2)
theanshulranade
commented on July 2, 2024
Performed statistical analysis of all players and players who featured in recent seasons to get their all-time stats and recent stats.
Prepared recommendations for anchors and power hitters based on their strike rates and averages.
from predictive-analytics-for-sports.
PraiseTheErdtree
commented on July 2, 2024
Based on the results from EDA first iteration for recommendation model was created with inning segments along with KPIs strike rate and average. A criteria was decided for each segment and a sorted list was the output
from predictive-analytics-for-sports.
Related Issues (9)
- Create a list of client business requirements based on brief HOT 1
- Source the data and perform Data preprocessing HOT 3
- Research about cricket stats and identify various Key Performing Indicators (KPIs) for the project HOT 1
- Finalize KPIs for players HOT 2
- Identify variables and perform EDA HOT 2
- Setup PowerBI for the dashboard HOT 2
- Prepare dataset for importing it in PowerBI HOT 2
- Finalize the frontend for model deployment HOT 1
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