Pinned Repositories
Analytics-Vidhya
AON-Penalty-Prediction
Introducing the Apollo Choice Modelling for Penalty Shot Prediction GitHub repository. Utilizing Apollo choice modeling, our code predicts soccer penalty shots. Featuring a user-friendly R Shiny app, the model considers player data, shot locations, and goalkeeper behavior to estimate shot success.
Coursera_getting_and_cleaning_data
datasharing
The Leek group guide to data sharing
ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
loan-status-prediction
Predict loan approval status using machine learning models. Explore data, build, tune, and evaluate models for accurate predictions.
ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
Protein-Sequence-analysis
Explore amino acid patterns in biological sequences with this R repository. Utilizing stringr, mmand, and ape libraries, it offers spatial analysis functionalities including pattern recognition, frequency analysis, and phylogenetic tree construction. Dive into documentation for usage guidance.
RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
tsfresh
Automatic extraction of relevant features from time series:
Tayyabrahmani's Repositories
Tayyabrahmani/AON-Penalty-Prediction
Introducing the Apollo Choice Modelling for Penalty Shot Prediction GitHub repository. Utilizing Apollo choice modeling, our code predicts soccer penalty shots. Featuring a user-friendly R Shiny app, the model considers player data, shot locations, and goalkeeper behavior to estimate shot success.
Tayyabrahmani/Analytics-Vidhya
Tayyabrahmani/Coursera_getting_and_cleaning_data
Tayyabrahmani/datasharing
The Leek group guide to data sharing
Tayyabrahmani/ExData_Plotting1
Plotting Assignment 1 for Exploratory Data Analysis
Tayyabrahmani/loan-status-prediction
Predict loan approval status using machine learning models. Explore data, build, tune, and evaluate models for accurate predictions.
Tayyabrahmani/ProgrammingAssignment2
Repository for Programming Assignment 2 for R Programming on Coursera
Tayyabrahmani/Protein-Sequence-analysis
Explore amino acid patterns in biological sequences with this R repository. Utilizing stringr, mmand, and ape libraries, it offers spatial analysis functionalities including pattern recognition, frequency analysis, and phylogenetic tree construction. Dive into documentation for usage guidance.
Tayyabrahmani/RepData_PeerAssessment1
Peer Assessment 1 for Reproducible Research
Tayyabrahmani/tsfresh
Automatic extraction of relevant features from time series: