🖼️ 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
DiagnoX is an open source project dedicated to diagnosing rare diseases. The original code is designed and specialized towards
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.
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.
A simple sentiment analysis using SGD and LinearSVC for Amazon Reviews
This is the material for Jose Portilla's Spark and Python for Big Data and ML course.
Predicting Police Attendance on Road Accidents
This project implements preprocessing, feature engineering, and multiple machine learning models to build a robust genre classification system.
Recognition of traffic signs
Develop a machine learning model using LinearSVC and TF-IDF to classify dishes from the student-contributed MLEnd Yummy Dataset, identifying options suitable for individuals with lactose intolerance and improving dietary management tools.
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 pipeline using the MLEnd Yummy Dataset to classify images as containing rice or chips, leveraging LinearSVC and advanced image processing techniques for accurate food identification.
Have build a predictive model to determine the likelihood of survival for passengers on the Titanic using data science techniques in Python.
Multi-Label Classifier with ETL, NLP, Sklearn, Flask, + Plotly
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