Unleashing potential: a data-driven exploration of identifying player potentialities through advanced analytics in sports
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2024.
Päätekijät: | Bhowmik, Prashanta, Islam, Md. Khaliful, Khan, Nabil Shartaj, Acharjee, Ananna |
---|---|
Muut tekijät: | Nahim, Nabuat Zaman |
Aineistotyyppi: | Opinnäyte |
Kieli: | English |
Julkaistu: |
Brac University
2024
|
Aiheet: | |
Linkit: | http://hdl.handle.net/10361/22753 |
Samankaltaisia teoksia
-
Early detection of chronic kidney disease using machine learning
Tekijä: Abrar, Tahmid, et al.
Julkaistu: (2019) -
Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
Tekijä: Ghose, Swattic, et al.
Julkaistu: (2023) -
Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
Tekijä: Rabbi, Md. Nafis
Julkaistu: (2024) -
Avoid a Fall or Fly Again : Turning Points of State Fragility /
Tekijä: Akanbi, Olusegun Ayodele
Julkaistu: (2021) -
Into the heart of Bangla speech: advancing speech sentiment recognition with semi-supervised multimodal machine learning model leveraging an iterative SHAP-based feature selection
Tekijä: Shruti, Abanti Chakraborty
Julkaistu: (2024)