A very simple Random Forest Classifier implementation in python.
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Updated
Sep 15, 2021 - Python
A very simple Random Forest Classifier implementation in python.
Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.
A Machine Learning Model that classifies the data in the images as Sensitive or Non-sensitive.
A Keras deep learning image classifiers on Django server with REST API | Django 图片识别平台
Simplify camera trap image analysis with ML species recognition models based around the MegaDetector model
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Deploy image classifier on a static website using javascript.
Detecting Malware in PE files
Academic project for Advances in Data Science and Architecture course
With some projects to develop "TOOLs" for better Modeling
To build an AI-based classifier model to assign the tickets to right functional groups by analyzing the given description
an image classifier to help with waste triage
Data Science project. ML algorithms to detect voice disorders.
An image recognition model which is capable of identifying the pattern on a dress image
A Simple code to train a CNN to predict label of Covid and Non-Covid CT scan images and an ACGAN to generate them.
This is one of my fun projects. It's a review classifier based on Amazon's reviews dataset hosted on Kaggle. I used FastText and Deep Learning model LSTM to build it.
Natural Language Processing of academic papers for dataset indexing
Scoring model for financial company - all files
Traffic Light Classifier (project 5 of 5 from Udacity Intro to Self Driving Car Nanodegree)
A Python Implementation Of The Machine Learning Algorithms I am Learning over time
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