Philip Kalinda
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...A saying people use at work in order to soften the blow of crippling criticism!  😅  Here is your chance to gift me with your feedback!
I invite you to provide feedback based on your experience with the site and any ideas that you may have that I can look to improve on or perhaps even research topics for me to consider analysing. Thanks!
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  • Home
  • About
  • Data Science & Analytics ›
    • 10. StackerPy - Model Stacking for Scikit-Learn Models
    • 9. Keep It Plain And Simplex: Linear Programming for the PL Fantasy Football
    • 8. Optimisation of Feature Selection in Machine Learning using Genetic Algorithms
    • 7. Kaggle - Titanic: Machine Learning From Disaster
    • 6. DrivenData - Pump It Up: Data Mining The Water Table
    • 5. DrivenData - Predicting Blood Donations
    • 4. Hackerrank - Email Prediction
    • 3. Multi-Class Logistic Classification and K-Means Clustering of Iris Data
    • 2. Restaurant Mult-Criteria Decision Analytics
    • 1. FIFA Pro Clubs Promotion Statistical Probabilities Analysis
  • Feedback & Comments
  • Home
  • About
  • Data Science & Analytics ›
    • 10. StackerPy - Model Stacking for Scikit-Learn Models
    • 9. Keep It Plain And Simplex: Linear Programming for the PL Fantasy Football
    • 8. Optimisation of Feature Selection in Machine Learning using Genetic Algorithms
    • 7. Kaggle - Titanic: Machine Learning From Disaster
    • 6. DrivenData - Pump It Up: Data Mining The Water Table
    • 5. DrivenData - Predicting Blood Donations
    • 4. Hackerrank - Email Prediction
    • 3. Multi-Class Logistic Classification and K-Means Clustering of Iris Data
    • 2. Restaurant Mult-Criteria Decision Analytics
    • 1. FIFA Pro Clubs Promotion Statistical Probabilities Analysis
  • Feedback & Comments