🖼️ Text2Meme is a Meme Classification Experiment based on Caption Text (Implemented as a Discord Bot)
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Updated
Dec 8, 2022 - Jupyter Notebook
🖼️ Text2Meme is a Meme Classification Experiment based on Caption Text (Implemented as a Discord Bot)
AI Biceps Curl Counter
Building machine learning classifiers to label tweets as "Hate Speech", "Offensive Language", or "Neither"
Cuisine Predictor is a python based tool which uses LinearSVC and kNeighborsClassifier to predict the cuisine and similar dishes from Yummly catlog.
DiagnoX is an open source project dedicated to diagnosing rare diseases. The original code is designed and specialized towards
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.
A project to predict if customer churns or not using ML algorithms
Recognition of traffic signs
This is the material for Jose Portilla's Spark and Python for Big Data and ML course.
Predicting Police Attendance on Road Accidents
A simple sentiment analysis using SGD and LinearSVC for Amazon Reviews
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.
By Analyzing the dataset through Machine and Deep learning models we have to classify whether a person has heart disease or not.
Our project utilizes machine learning models to predict cardiovascular diseases (CVDs) by analyzing diverse datasets and exploring 14 different algorithms. The aim is to enable early detection, personalized interventions, and improved healthcare outcomes.
Handwritten Digit Recognition using neural nets and ML classifiers
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