Template codes and examples for Python machine learning concepts
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Updated
Aug 19, 2017 - Python
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.
Template codes and examples for Python machine learning concepts
A machine learning agent that learns to play a game using Deep Reinforcement Learning Technique
Implementations of the bandit algorithms with unordered and ordered slates that are described in the paper "Non-Stochastic Bandit Slate Problems", by Kale et al. 2010.
This Repo contains Machine learning models using datasets from Kaggle
Basic Machine Learning Models
Data Analysis Project on Pulsar Stars
Machine Learning A-Z™ Hands-On Python & R In Data Science
A bot is developed to provide services to the passenger in a very efficient way.
ID3 is a Machine Learning Decision Tree Algorithm that uses two methods to build the model. The two methods are Information Gain and Gini Index.
📊 Easily apply audio-related machine learning models trained on the AudioSet dataset (527+ models/classes).
Content-based filtering
Locate and tag nested-named entities in text.
Check-Worthiness Detection in Dutch
A repository for my stock price predictor project.
Dry Natural Gas Production Prediction of the United States
Tesla Car Range, Base Price and Precise Price Prediction - Machine Learning
Estimated annual CO2 emissions from diesel generators at mobile or cell towers