There are 0 repository under linear-svc topic.
🖼️ Text2Meme is a Meme Classification Experiment based on Caption Text (Implemented as a Discord Bot)
AI Biceps Curl Counter
DiagnoX is an open source project dedicated to diagnosing rare diseases. The original code is designed and specialized towards
Cuisine Predictor is a python based tool which uses LinearSVC and kNeighborsClassifier to predict the cuisine and similar dishes from Yummly catlog.
A project to predict if customer churns or not using ML algorithms
A project on classification of GitHub readme sections using Machine Learning
There are three classes InfoTheory, CompVis and Math. These can occur in any combination, so an article could be all three at once, two, one or none. The job is to build text classifiers that predict each of these three classes individually using the Abstract field.
Building machine learning classifiers to label tweets as "Hate Speech", "Offensive Language", or "Neither"
SVM Face Detector Using HOG Features
Handwritten Digit Recognition using neural nets and ML classifiers
A simple sentiment analysis using SGD and LinearSVC for Amazon Reviews
Cuisine Predictor takes a list of ingredients from a user and attempts to predict the type of cuisine and similar meals
A loan prediction modes
Recognition of traffic signs
Credit scoring is a crucial task in financial institutions to assess the creditworthiness of individuals or businesses. This project focuses on building classification models to predict credit scores based on various features such as income, debt, and credit history.
Build a machine learning classifier that knows whether President Trump or Prime Minister Trudeau is tweeting!
A Machine Learning project made in Python used to classify unit text to a specified topic. Employed by Auburn University at Montgomery part-time while creating the application and finishing up my final university semester
Predicting Police Attendance on Road Accidents
Multi-Label Classifier with ETL, NLP, Sklearn, Flask, + Plotly
Have build a predictive model to determine the likelihood of survival for passengers on the Titanic using data science techniques in Python.