Following tutorials from Josh Gordon.
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Updated
May 24, 2017 - Python
Following tutorials from Josh Gordon.
contains basic starter code when i started machine learning
Supervised learning methods for biometric authentication on mobile devices
Homework for 572 NLP. Mostly classifiers.
A convolutional neural network for human emotion classification
Varying classifier and data processing techniques for the CIFAR-10 dataset.
Classification of Heart Disease using a variety of supervised learning classifiers
😨 Detects faces by using OpenCV which is computer vision interface library or platform like Matlab. OpenCV provides classifiers for detecting a different type of objects by using a different kind of sensors and cameras.
Fake News Detection on Liar dataset
Making a dataset of poems and try categorising them in 4 genres using two different classifiers.
🏀 Hardcoded ML classifiers from scratch to create predictive models on the outcomes of NBA games!
Classifying IMDB reviews as "positive" or "negative" using sentiment analysis with neural networks.
ObjectDetector uses OpenCV Haar cascade classifiers to detect different objects in images and videos with Python. For now, this repository includes my trained haar cascade classifier for detecting cars, the default haar cascade classifier for human faces (haarcascade_frontalface_default), a classifier for bananas from CodingRobin and a classifie…
Machine Learning Project on Breast Cancer Diagnosis using Sklearn, matplotlib, pandas, and seaborn
Machine Learning to identify animal class
Classification of a music sample among 10 genres (rock, jazz, blues...) using several models
Prediction of the passengers that survived the shipwreck of Titanic.
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