using MarDCT dataset to distinguish between different types of venice boats
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Updated
Jan 5, 2019 - Python
using MarDCT dataset to distinguish between different types of venice boats
A collection of machine learning algorithms, written in Python.
Cat Dog Classifier with CNN using Keras
A repository with our team's final Python project in MGMT 590 Analyzing Unstructured Data course at Krannert School of Management, Purdue University.
A model of various classification algorithms being trained and tested on a heart failure prediction dataset
Mulit-label classification model that’s capable of detecting clothes and colors from image
This repository is dedicated to predicting customer churn using machine learning techniques. It includes comprehensive scripts for data preprocessing, model training, and evaluation, along with detailed visualizations and insights.
Youtube Video Content Classifier for educational and non-educational content
TalkingData AdTracking Fraud Detection Challenge
A neural networks project that categorizes different poems in the dataset according to their genre
A CNN model that classifies German traffic signs
there is a company called Subsidy Inc. which delivers subsidies to individuals based on their income. So, if your income levels are different, you get different subsidies and so on. However and whenever someone new comes in, it is very difficult to get information about personal income. So, that is one of the most difficult pieces of data to get…
This repository presents the Implementation of Convolutional Neural Netwoks along with ResNet by using Fast.ai from scratch.
A helper app to kick-start your machine learning model building. This app builds a lot of basic models and help you understand which models works better on your dataset, without any parameter tuning
An artificial intelligence designed to emulate human mathematical problem solving. Heavily utilizes NLP (Natural Language Processing) and other forms of classification to imitate problem solving.
This program is a small part (some demo part) of big Determinant of Minerals Project!
Deep Network implemented from scratch using only NumPy. This is my interpretation of Dense and Sequential available in the Tensorflow package.
This is my implementation for the MediaEval 2015 problem "verifying multimedia use" to identify fake content after a high impact event has occurred.
Text to subject multi classification machine learning model
Project for Computer Vision course
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