regression
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Implementations from a graduate course following "Pattern Recognition and Machine Learning) written by Bishop and published in 2006.
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Sep 16, 2013 - MATLAB
Evaluate various supervised learning methods to predict cohesive energies of solids (kernel ridge regression is the best)
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Jul 18, 2014 - Python
[C++] Single and multi-dimensional non-parametric Gaussian kernel regression.
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Apr 15, 2015 - C++
Regression detection in time series data
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Feb 27, 2016 - Python
Forecast use of a city bikeshare system (Kaggle.com project)
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Mar 4, 2016 - Python
Linear regression implementation in R.
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Apr 11, 2016 - R
Testing various Python libraries to implement a Feedforward Neural Network for Regression
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Jun 14, 2016 - Jupyter Notebook
Predicting price-tag of pharmaceutical drugs with Random Forests algorithm (Datascience.net competition)
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Jun 24, 2016 - Jupyter Notebook
R methods to add context variables to use ordinary linear regression for panel data construction
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Jul 19, 2016 - R
Pure Python extensions for Scikit-Learn.
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Sep 25, 2016 - Python
Predicting Footfall at gardens -- AnalyticsVidhya Datahack
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Sep 26, 2016 - R
Data Science projects of popular datasets with R Data,ML ecosystem
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Sep 28, 2016 - R
Predicting House Prices -- Kaggle Competition
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Oct 5, 2016 - R
Predict boston housing price using regression
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Oct 5, 2016 - HTML
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Oct 12, 2016 - TeX
2n Kaggle Competition files of Innopolis Machine Learning course
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Oct 13, 2016 - Jupyter Notebook
House Prices: Advanced Regression Techniques. Test and solutions for https://www.kaggle.com/c/house-prices-advanced-regression-techniques
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Nov 4, 2016 - Jupyter Notebook
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