Unleashing potential: a data-driven exploration of identifying player potentialities through advanced analytics in sports

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.

Библиографические подробности
Главные авторы:	Bhowmik, Prashanta, Islam, Md. Khaliful, Khan, Nabil Shartaj, Acharjee, Ananna
Другие авторы:	Nahim, Nabuat Zaman
Формат:	Диссертация
Язык:	English
Опубликовано:	Brac University 2024
Предметы:	Machine learning Sofifa dataset Random forest regressor Linear regressor KNeighbors regressor Neural network Sports analytics CatBoost regressor LightGBM regressor Neural networks (Computer science)
Online-ссылка:	http://hdl.handle.net/10361/22753

Схожие документы

Early detection of chronic kidney disease using machine learning
по: Abrar, Tahmid, и др.
Опубликовано: (2019)

Forecasting bitcoin price considering macro economic factors and media influence using bidirectional LSTM and random forest regressor as ensemble model
по: Ghose, Swattic, и др.
Опубликовано: (2023)

Unveiling underlying patterns, drivers and anomalies in cryptocurrency price dynamics through feature fusion of financial indicators and sentiment fluctuations
по: Rabbi, Md. Nafis
Опубликовано: (2024)

Avoid a Fall or Fly Again : Turning Points of State Fragility /
по: Akanbi, Olusegun Ayodele
Опубликовано: (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
по: Shruti, Abanti Chakraborty
Опубликовано: (2024)

Prediction of bipolar disorder from mental episodes using machine learning approach
по: Tasmeem, Sumaiya, и др.
Опубликовано: (2023)

Detecting online recruitment fraud by using machine learning
по: Ghosh, Gitanjali, и др.
Опубликовано: (2021)

A machine learning approach to detect DeepFake videos
по: Hassan, Md. Mahedi, и др.
Опубликовано: (2021)

Chronic kidney disease detection using ensemble classi ers and feature set reduction
по: Shawan, Naveed Rahman, и др.
Опубликовано: (2019)

Learning a deep neural network for predicting phishing website
по: Das, Robat, и др.
Опубликовано: (2019)

Crop prediction based on geographical and climatic data using machine learning and deep learning
по: Alif, Al Amin, и др.
Опубликовано: (2019)

An efficient deep learning approach to classify white blood cells
по: Turja, Afif Ibna Kadir Khan, и др.
Опубликовано: (2024)

Prediction of acute lymphoid leukemia using Privacy Preserving Neural Network
по: Khilji, Ishfaque Qamar, и др.
Опубликовано: (2021)

A conventional & deep learning strategy for analyzing & detecting Bengali fake news in online medium
по: Ahmed, Istiak, и др.
Опубликовано: (2023)

Using deep learning algorithms to detect violent activities
по: Ammar, S.M. Rojin, и др.
Опубликовано: (2019)

Emotion analysis using machine learning model and deep learning model on DEAP dataset
по: Hasan, Anita, и др.
Опубликовано: (2022)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
по: Islam, Roman, и др.
Опубликовано: (2024)

Crowd source based traffic analysis using machine learning algorithm
по: Orthy, Marzia Khan, и др.
Опубликовано: (2018)

An analysis of word sense disambiguation in Bangla and English using supervised learning and a deep neural network classifier
по: Pasha, Maroof Ur Rahman
Опубликовано: (2016)

Heart disease prediction using techniques of classification in machine learning
по: Afrose, Sadia, и др.
Опубликовано: (2021)

Skin cancer detection and classification using multiple optimized deep convolutional neural network
по: Sakir, Adnan, и др.
Опубликовано: (2023)

An efficient ML approach to detect brain tumor using MRI images
по: Muktadir, MD. Arafat, и др.
Опубликовано: (2024)

A machine learning approach to predict movie box-office success
по: Quader, Nahid, и др.
Опубликовано: (2018)

Predicting peak performance of a cricket player using machine learning and data analytics
по: Azam, Akif, и др.
Опубликовано: (2023)

A comparative performance analysis of accident anticipation with deep learning extractors
по: Mostak, Alfi Mashab, и др.
Опубликовано: (2023)

Classification of retinal diseases from OCT images using deep learning models
по: Mokarrom, Md Saif, и др.
Опубликовано: (2024)

Detection of handwritten text using convolutional neural network
по: Jasim, Rabib Bin, и др.
Опубликовано: (2024)

Visual object classification from fMRI data
по: Newaz, Syed Mishar, и др.
Опубликовано: (2022)

Human Activity Recognition using wearable body sensor by machine learning approach
по: Promi, Sadia Tangim, и др.
Опубликовано: (2020)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
по: Ferdous, Md.Rubaiat, и др.
Опубликовано: (2024)

Corn leaf disease detection using deep convolution neural network
по: Rabbi, Rawhatur, и др.
Опубликовано: (2023)

Bangla grammar and spelling check using machine learning
по: Ahmed, Foysal, и др.
Опубликовано: (2023)

Silent voice: harnessing deep learning for lip-reading in Bangla
по: Shaheen, Munia, и др.
Опубликовано: (2024)

Towards solving perception based autonomous driving assistant system
по: Hossain, Md. Arafat, и др.
Опубликовано: (2022)

Deep learning-based hybrid multi-task model for adrenocortical carcinoma segmentation and classification
по: Datta, Nirjhor, и др.
Опубликовано: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
по: Ifty, Md. Hasin Sarwar, и др.
Опубликовано: (2024)

Leveraging sequential deep learning models for detecting multitude of human action categories
по: Pranta, Kazi Al Refat, и др.
Опубликовано: (2024)

Comparative analysis and implementation of credit risk prediction through distinct machine learning models
по: Turjo, Aquib Abtahi, и др.
Опубликовано: (2021)

SCAMM: detection and prevention of SQL injection attacks using a machine learning approach
по: Alam, Auninda, и др.
Опубликовано: (2021)

An efficient deep learning approach to detect skin Cancer
по: Islam, Ashfaqul, и др.
Опубликовано: (2022)