The project involves building models for scoring & segregating users acccording to certain threshold criteria based on features from LinkedIn on threshold criteria-refer ReadMe.
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Updated
May 7, 2023 - Jupyter Notebook
The project involves building models for scoring & segregating users acccording to certain threshold criteria based on features from LinkedIn on threshold criteria-refer ReadMe.
Implemented using Linear SVM(SVC) and Non-Linear SVM(RBF). ML ASSIGNMENT 2 => Q2
This project focuses on classifying pulsar stars using the Support Vector Machine (SVM) algorithm, a powerful method in the realm of supervised learning. The goal is to automate the identification process of pulsar stars from candidates collected during surveys, based on predictive modeling.
falppy-bird machine-learning program using svm and GAN
A repository that contains practice code for ML algorithms implementation on a cancer treatment medical dataset from Kaggle (Text Processing, Response Encoding, Feature Engineering, Classification).
Practice from My Machine Learning Certificate from Cornell
Made a CNN model for the classification of Dog and Cat images and tested it with lookalike images.
Projet de modélisation supervisée - SCORING
Finding duplicate records using Record Linkage Comparison and BigData through Apache Spark
Optimizing LinearSVC models trained on the MNIST Handwritten Digits dataset, includes ensemble methods and bayesian optimization.
Text Summarization
Machine Learning project - CMP2024 - Computer Engineering - Cairo University
Prediction of diabetes health indicators for machine learning class final project
Statistical Pattern Recognition (classic machine learning)
A Google Chrome Extension that estimates the Reliability, Polarity and Subjectivity of any news article on the web. It allows you to like/dislike any article and recommends you articles based on your choices.
Detects facial landmarks in real-time from the input feed of a webcam/usb-camera/pi-cam using a HOG + Linear SVM model.
Machine Learning - Binary Classification
Handwritten digits recognition using logistic regression, Linear with PCA and LDA or dimensionality reduction and Kernel SVM, and Lenet-5 .
Vehicle detection using support vector classification and sliding windows
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