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May 12, 2015 - HTML
machinelearning
Machine learning is the practice of teaching a computer to learn. The concept uses pattern recognition, as well as other forms of predictive algorithms, to make judgments on incoming data. This field is closely related to artificial intelligence and computational statistics.
Here are 170 public repositories matching this topic...
Designing of our own neural network to predict bike riders probability over a real dataset. Project 1 for Deep Learning Nanodegree Program at Udacity.
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Apr 8, 2017 - HTML
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Apr 30, 2017 - HTML
Recommendation System for academic paper based on conference connection
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May 26, 2017 - HTML
Python jupyter notebook project on learning and detecting traffic signs
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Oct 24, 2017 - HTML
This project includes implementation of supervised machine learning algorithms in R language.
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Nov 13, 2017 - HTML
Teach you how to implement machine learning algorithms
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Nov 30, 2017 - HTML
Classifying Body movement using wearrable data
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Dec 1, 2017 - HTML
This is a jupyter notebook for the Kaggle Regression Day 1 challenge on the Bikes dataset. It is my first Kaggle kernel and also my first attempt to apply ML concepts on real data. You can find the New Yorks bikes data set from the kaggle website for your own reference or practice.
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Dec 9, 2017 - HTML
Q-Learning algorithm is implemented of Reinforcement learning to train a smartcab to drive.
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Jan 16, 2018 - HTML
Mini blog for notes and guides on Deep Learning
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Mar 6, 2018 - HTML
Programación en lenguaje R 🦊
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May 7, 2018 - HTML
Machine Learning with R
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May 28, 2018 - HTML
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Jul 11, 2018 - HTML
Used various Machine Learning algorithms to analyze the risk score of known data breaches from 2013 - 2017
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Jul 12, 2018 - HTML
Performing Sentiment Analysis on Electronic Reviews
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Aug 18, 2018 - HTML
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