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Name: Sarah Fraihat
Type: User
Bio: Bachelors in AI, junior Python developer, and ML enthusiast.
Name: Sarah Fraihat
Type: User
Bio: Bachelors in AI, junior Python developer, and ML enthusiast.
This is a random forest classifier that classifies whether the anime is good or not based on 6 features. The model has been saved and passed to a Flask model then deployed as a web page using HTML
This repository is dedicated to all my work so far, and so forth in the CS50 intro to DS course.
This project is completed as part of the Data Science training at Orange Jordan. This is the first part of the project where we were given the data, analyzed it, cleaned it, applied operations at it, and made it ML model ready.
A decision tree model that classifies whether one is prone to have heart disease in the next ten years or not based on different features.
A ensemble machine learning model (Bagging) to predict diabetes based on different features.
Comprehensive EDA on the Fast Food dataset
This is a Python model that takes in a text file as an input and uses SQLITE3 to locate the emails in the file and extract the domain names and how many times emails have been received from each domain.
This logistic regression model is built to predict the possibility of having heart disease within the next 10 years based on different features.
Studying the effect of fitting a linear regression model on insufficient data.
This is a LinkedIn Learning repo for Machine Learning with Python: Association Rules.
This is a LinkedIn Learning repo for Machine Learning with Python: Logistic Regeression.
This repository simplifies ML classification with organized, efficient classification models. Ideal for all skill levels, it offers default models, hyperparameter tuning, feature selection, tree-specific operations, and more.
This Python program first reads the txt file as a dictionary, the keys are the student names, and the values are a list of the students' marks. Operations such as finding the highest average, the highest mark, IQR, standard deviation.. etc are performed on the formed dictionary. This is a practice of modules, statistics, and dictionary operations.
This project is split between creating a python web-scraper to scrape the web for info on ML related websites, processing the web-scraped data, and finally tokenizing it to use on ML models.
Task 1 of the Prodigy InfoTech ML internship which involves building a basic Linear Regression model. The used dataset is a "Houseprice" dataset.
Task 2 of the Prodigy InfoTech ML internship which involves clustering wine using the Kmeans clustering algorithm.
Task 4 of the Prodigy InfoTech ML internship which involves building a hand gesture recognition model using CNN.
This repository is dedicated to all my work so far, and so forth in the Python specialization offered by the University of Michigan.
Studying the Breast Cancer Wisconsin (Diagnostic) Dataset, training different classifiers (SVM, Naive Bayes, and Adaboost) and evaluating them on training, testing, and validation
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.