IFT3335 Artificial Intelligence : Medical text and news report classification using machine learning algorithms and tool.
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Updated
Jan 3, 2016 - HTML
IFT3335 Artificial Intelligence : Medical text and news report classification using machine learning algorithms and tool.
Kaggle challenge asking to predict the outcome for each animal of the shelter.
Machine Learning Practices
Second Project of the Udacity Self-Driving Car Nanodegree Program
Johns Hopkins University Bloomberg School of Public Health: Data Science Specialization Program: Practical Machine Learning Course: Exercise Quality Classification Prediction Project repo, date created 70114
Udacity - Machine Learning Engineer Nanodegree Project - Classify students in need for intervention
Project Overview In 2000, Enron was one of the largest companies in the United States. By 2002, it had collapsed into bankruptcy due to widespread corporate fraud. In the resulting Federal investigation, a significant amount of typically confidential information entered into the public record, including tens of thousands of emails and detailed f…
Traffic Sign Classifier using Deep Neural Networks and CNN.
Supervised ML models to predict student's performance in high school
Pure Numpy implementation of Fully Connected Neural Networks with gradient descent for weight optimisation
German Traffic Sign Classifier using Convolution Network
A place to practice exploring and analysing UCI machine learning data sets
Course project for Practical Machine Learning course, part of the JHU data science specialization.
Udacity Self Driving Car Nanodegree Project 2 - Traffic Sign Classifier
Deep Learning Nano Degree Program : Image Classification Using CNN
Improving text classification with vectors of reduced precision
Supervised learning for student intervention
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