Stock predictor using Machine Learning
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Updated
Dec 4, 2015 - Python
scikit-learn is a widely-used Python module for classic machine learning. It is built on top of SciPy.
Stock predictor using Machine Learning
ML Backend for TechBhet.com that does text classification on FB Group posts.
Udacity Nanodegree Project 3: Example of unsupervised learning. Creating customer segments.
Naive Bayes comparison and learning curves
Pure Python extensions for Scikit-Learn.
A collections of lab design for project training
Content for Udacity's Machine Learning curriculum
This is a repository created in order to store all michine learning practices I am doing
Python scikit-learn Machine Learning Examples
Data mining project about Chilean education [ES]
In this, I have implemented a form of Joakim Nivre’s “arc-eager transition-based dependency parser”.
Find out truth about a shop, easily
Project 1 as Machine learning Nanodegree
This is the project on ransomeware detection using machine learning.
Simple sklearn based python implementation of Positive-Unlabeled (PU) classification using bagging based ensembles
predicts whether a passenger survived the titanic sinking, based on variables like Sex, Age, Fare paid, etc
"Introduction to Machine Learning" course 2016
Created by David Cournapeau
Released January 05, 2010
Latest release about 1 month ago