fatimaAfzaal
Student at Air University | Interested in data science, machine learning and android development
Pinned Repositories
Book-Shop-Application-Using-ASP.NET
This is MVC Asp.Net application that uses database first approach and use sql database to save records
CV_Maker
This is a CV maker app with taking data from user and make CV for user
DataBinding-in-WPF
This is a simple WPF application that uses element and data binding
Diabetes-Prediction-Web-App
This repository contains the code for a web-based diabetes prediction application using a machine learning model. The application is built using Flask and allows users to input various health parameters to predict the likelihood of diabetes using ensemble voting classifier.
Digital_Tasbeeh
This is digital Tasbeeh android app that counts the tasbeeh
Exploratory-Data-Analysis
This is a important step in data analysis ,this is a simple code for some important parts of exploratory data analysis.
First-Datascience-Basic-Project
This is my first data science project that I have done on Data camp.
Guess-random-number-game
It is a simple but interesting Python program that ask user to enter number range and within that range it creates a random number and then ask user to guess number that is generated
Multiple-grade-prediction-Multi-Target-Problem-
This project aims to predict the final grades (G2 and G3) of students based on various factors such as age, study time, family support, and more.It utilizes machine learning techniques to make predictions and offers insights into the factors affecting students' grades.
Secure-Student-Managment-System-using-face-recognition
This is a student management system desktop application that is secure in the way that it recognize face for admin login or authenticate admin through face recognition using emgu-cv.
fatimaAfzaal's Repositories
fatimaAfzaal/Multiple-grade-prediction-Multi-Target-Problem-
This project aims to predict the final grades (G2 and G3) of students based on various factors such as age, study time, family support, and more.It utilizes machine learning techniques to make predictions and offers insights into the factors affecting students' grades.
fatimaAfzaal/Secure-Student-Managment-System-using-face-recognition
This is a student management system desktop application that is secure in the way that it recognize face for admin login or authenticate admin through face recognition using emgu-cv.
fatimaAfzaal/Book-Shop-Application-Using-ASP.NET
This is MVC Asp.Net application that uses database first approach and use sql database to save records
fatimaAfzaal/DataBinding-in-WPF
This is a simple WPF application that uses element and data binding
fatimaAfzaal/Diabetes-Prediction-Web-App
This repository contains the code for a web-based diabetes prediction application using a machine learning model. The application is built using Flask and allows users to input various health parameters to predict the likelihood of diabetes using ensemble voting classifier.
fatimaAfzaal/First-Datascience-Basic-Project
This is my first data science project that I have done on Data camp.
fatimaAfzaal/Multiple-Ensemble-models-Diabetes-Prediction-Project-
This project focuses on predicting the likelihood of diabetes in individuals using ensemble machine learning models. It combines various ensemble techniques, including Random Forest, AdaBoost, Gradient Boosting, Bagging, Extra Trees, XGBoost, Voting Classifier and some others to get predictions.
fatimaAfzaal/My-First-R-Project
This is my first R project that I have done on datacamp
fatimaAfzaal/NotepadApp
This is a notepad app using windows form
fatimaAfzaal/Optimizing-Emergency-Medical-service-Response-Time
This is a web application that gets user's input location and find shortest path to the nearest hospital using A* algorithm and also show it visually through graph by networkx library
fatimaAfzaal/Simple-Chatbot-Using-Python
I have made a simple chatbot in Python using Jupyter notebook using NLP
fatimaAfzaal/SmartComplain
This is a e-complain app by which user can send query or complain as well as ask for resources to the authority. Also user can keep track of history as well as feedback
fatimaAfzaal/SQL-project-on-datacamp
fatimaAfzaal/Student-Marks-Predictor
This is a machine learning model that predicts the marks of students based on the hours they study using linear regression
fatimaAfzaal/Student_Grade_Prediction_Project
This project demonstrates the application of machine learning in predicting student grades based on various factors.
fatimaAfzaal/AndroidLearningApp
This is android learning(Preparation and quiz)app
fatimaAfzaal/Bee-Species-Image-Classification
This project focuses on using the Python image library Pillow to load and manipulate image data, perform common image transformations, and build them into a data processing pipeline.
fatimaAfzaal/Car_Price_Prediction
Trains Random Forest and Gradient Boosting models to predict car prices based on user inputs for various car attributes, evaluating models and making predictions using the best-performing model.
fatimaAfzaal/Certificates
This is my repository showcasing my professional development journey through various courses and achievements.
fatimaAfzaal/Diabetes-Prediction-Project-Using-Random-Forest
This project focuses on predicting the likelihood of a person having diabetes based on various health-related attributes using Random Forest Algorithm
fatimaAfzaal/Diabetes-Prediction-Project-Using-Voting-Classifier
This project focuses on predicting the likelihood of a person having diabetes based on various health-related attributes. It employs a Voting Classifier, which combines the predictions of multiple machine learning models, to improve prediction accuracy.
fatimaAfzaal/DiabetesPrediction
This is a diabetes prediction system using Random Forest classifier and Flask framework.
fatimaAfzaal/Eartquake_Magnitude_Prediction
This repository contains a Flask web application that uses a CatBoost regression model to predict earthquake magnitudes. The model is trained using a dataset containing various features related to earthquakes.
fatimaAfzaal/email_spam_classification
This code performs email spam classification using three machine learning models: Naive Bayes, Support Vector Machines (SVM), and Random Forest Classifier. It evaluates their performance using accuracy scores and classification reports, ultimately identifying Random Forest Classifier as the best performer among the three.
fatimaAfzaal/fatimaAfzaal
Config files for my GitHub profile.
fatimaAfzaal/HyperParameter_Tuning_Of_Model
This code performs hyperparameter tuning using Grid Search and Random Search for a Random Forest Classifier on an email dataset, followed by evaluating the best models based on accuracy and classification reports.
fatimaAfzaal/Laptop_price_prediction
A machine learning project for predicting laptop prices using Gradient Boosting and Random Forest regressors.
fatimaAfzaal/RamzanApp
This is a android app that have Ramadan guide, calendar as well as duas and prayer timings using fragments and recycler view
fatimaAfzaal/Risk-And-Returns_The-Sharpe-Ratio
This is about the Sharpe ratio by calculating it for the stocks of the two tech giants Facebook and Amazon.
fatimaAfzaal/Simple_Linear_Regression
This code performs data preprocessing, visualization, and simple linear regression to predict the tip amount based on the total bill in a restaurant dataset.