Pinned Repositories
FYP-Cardiac-Dignostic-Framework
Code for segmentation of left ventricle using UNET and calculation of ejection fraction volume.
angular-Pakwheels-crud-app
Web API (using Express and Node) for the Angular UI of online vehicle buying and selling system( e.g Pakwheels). For data manipulation, mongodb with the API is used.
Automated-Teller-Machine-using-OOP
This is my project to make software of a basic Automated Teller Machine(ATM). For this purpose, i have used different concepts of object oriented programming. This project is in C++ language.
Classification-Using-Machine-Learning
Perform classification on the provided Adult Census Income dataset. The “adult.data” file provides the labeled training data, while “adult.test” file provides the labeled test data. The task is to train and test at least 2 different machine learning models (e.g., Naïve Bayes, Logistic Regression, K-Nearest Neighbors, etc.), and perform comparative analysis (e.g., accuracy, efficiency, simplicity, etc.)
Database-Management-System-For-An-NGO-MySQL
Created NGO's database using MySQL's DDL(Data Definition Language) commands. Maintained the database using DML(Data Manipulation Language) commands. Created the frontend for handling the database using html and Bootstrap. Implemented the PHP code for connecting the MySQL database with the frontend.
Deep-Learning-A-Z
This repo contains the projects completed during udemy's Deep Learning A-Z course. The projects are based on ANN, CNN and RNN
Genetic-Algorithm-From-Scratch
Implemented Genetic Algorithm from scratch to select most impactful features from the dataset. Applied Machine learning classification model to evaluate the accuracy score with and without feature selection.
Heart-Attack-Prediction-using-Python
You have to perform a classification on provided dataset of Heart Attack prediction. For that prediction, first of all you have to preprocess dataset and convert it into appropriate numeric form. Then you have to perform any Machine Learning model for the prediction of Label. Here are some outcomes of the project that I expect from that I expect from you. 1) Preprocessing 2) Applying more than 3 Machine Learning algorithms for the prediction and apply majority voting concept for the final output. Majority voting means to take Predicted labels from all applied classifiers and assign final label according to majority vote. 3) Exploratory Data Analysis: Lot of graphs to understand the Data insights. 4) Accuracy, F Score more than 65 percent. The more the F-score, more marks will be awarded. You can use Numpy, Pandas, Sklearn, Matplotlib library for that.
MLOPS-GoogleStocksPricePrediction
Near-Real-Time-Datawarehouse
This project covers the implementation and analysis of near real time Data Warehouse prototype for Metro shopping store
wadooodd's Repositories
wadooodd/Classification-Using-Machine-Learning
Perform classification on the provided Adult Census Income dataset. The “adult.data” file provides the labeled training data, while “adult.test” file provides the labeled test data. The task is to train and test at least 2 different machine learning models (e.g., Naïve Bayes, Logistic Regression, K-Nearest Neighbors, etc.), and perform comparative analysis (e.g., accuracy, efficiency, simplicity, etc.)
wadooodd/Database-Management-System-For-An-NGO-MySQL
Created NGO's database using MySQL's DDL(Data Definition Language) commands. Maintained the database using DML(Data Manipulation Language) commands. Created the frontend for handling the database using html and Bootstrap. Implemented the PHP code for connecting the MySQL database with the frontend.
wadooodd/angular-Pakwheels-crud-app
Web API (using Express and Node) for the Angular UI of online vehicle buying and selling system( e.g Pakwheels). For data manipulation, mongodb with the API is used.
wadooodd/Automated-Teller-Machine-using-OOP
This is my project to make software of a basic Automated Teller Machine(ATM). For this purpose, i have used different concepts of object oriented programming. This project is in C++ language.
wadooodd/Deep-Learning-A-Z
This repo contains the projects completed during udemy's Deep Learning A-Z course. The projects are based on ANN, CNN and RNN
wadooodd/Genetic-Algorithm-From-Scratch
Implemented Genetic Algorithm from scratch to select most impactful features from the dataset. Applied Machine learning classification model to evaluate the accuracy score with and without feature selection.
wadooodd/Heart-Attack-Prediction-using-Python
You have to perform a classification on provided dataset of Heart Attack prediction. For that prediction, first of all you have to preprocess dataset and convert it into appropriate numeric form. Then you have to perform any Machine Learning model for the prediction of Label. Here are some outcomes of the project that I expect from that I expect from you. 1) Preprocessing 2) Applying more than 3 Machine Learning algorithms for the prediction and apply majority voting concept for the final output. Majority voting means to take Predicted labels from all applied classifiers and assign final label according to majority vote. 3) Exploratory Data Analysis: Lot of graphs to understand the Data insights. 4) Accuracy, F Score more than 65 percent. The more the F-score, more marks will be awarded. You can use Numpy, Pandas, Sklearn, Matplotlib library for that.
wadooodd/MLOPS-GoogleStocksPricePrediction
wadooodd/Near-Real-Time-Datawarehouse
This project covers the implementation and analysis of near real time Data Warehouse prototype for Metro shopping store
wadooodd/omdena-mumbai-chapter-air-quality
Omdena Mumbai Chapter - Predicting Air Quality
wadooodd/openfabrictest-chatbot
wadooodd/polymath
Convert any music library into a music production sample-library with ML
wadooodd/Portfolio-Website-using-HTML-and-CSS
Learn to make web pages with basic html and html5 and apply css and css3 on web pages. Learn to make responsive pages.
wadooodd/Responsive-Webpages-Using-Javascript-HTML-and-CSS
Responsive portfolio, attendance and videos webpages using Javascript, HTML and CSS. Major objectives of this repository was to learn to apply JavaScript programming, learn to manipulate the DOM through JavaScript and lastly to learn to apply JavaScript events.