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Basic UMAP Usage and Parameters UMAP is a fairly flexible non-linear dimension reduction algorithm. ...
Number of data-science related repos on Github by year Search API docs
We'll cut down in the size of the DataFrame we're working with by throwing out weapon data for weapo...
Results from arduino radiation-board Revived a forgotten Libelium/Cooking-hacks radiation arduino s...
Functional preference profiles Note: This analysis is almost identical to this one: https://github.c...
Require AmberTools conda install ambertools=17 -c http://ambermd.org/downloads/ambertools/conda/
Evaluating Burgers Equation with different CFD Schemes We've already examined Burgers equation in bo...
Author: Jake Vanderplas: http://jakevdp.github.io This is an example of embedding an animation via j...
Step 1 - Model Training Now that we have a feel for the data we are dealing with, we can start desig...
To run all cells: Cell -> Run All To run a selected cell: First click on it, then ...
Table of Contents 1 ——WESTERN TRADE COAST HYDROLOGIC MODEL ——2 IMPORT DEPENDENCIES3 THE STUDY AR...
A Jupyter notebook to read tracking files and (ultimately) create a data package representation of t...
Zika and Microcephaly in Brazil - How weather, population growth, and sanitation have impacted the ...
Visualizing Geotopics Results In this notebook, we provide scripts to visualize the results obtained...
Price to Trailing 12-Month Cashflows Reference This is calculated as a simple ratio between price pe...
Sleep Study We evaluate the performance of MERF on a famous sleep study dataset with 180 samples and...
Sequence to Sequence (seq2seq) Recurrent Neural Network (RNN) for Time Series Prediction The goal of...
Fully-Connected Neural Nets In the previous homework you implemented a fully-connected two-layer neu...
Animation based on: http://matplotlib.org/users/whats_new.html#display-hook-for-animations-in-the-i...
Things to do with training set Identify missing values related columns and further analyse. Check t...
This notebook has all the code required to emulate the results from a simulation of tumour growth sh...
Confidence Intervals We have developed a method for estimating a parameter by using random sampling ...
Variational Inference: Bayesian Neural Networks (c) 2016 by Thomas Wiecki Original blog post: http:/...
Table of Contents 1 Load libraries2 Load previously trained model3 Generate predictions4 Find b...
Model Data Services (MDS) This notebook is an early demonstration showing some of the benefit from h...
pomegranate / hmmlearn comparison hmmlearn is a Python module for hidden markov models with a scikit...
When will Arctic be ice free during summer? One can look at the sea ice extent (first part of this n...
Data Carpentry Reproducible Research Workshop - Data Exploration
Data Analysis and Visualization For today's workshop we will be using the pandas library, the matplo...
Jupyter Octave Kernel Interact with Octave in Notebook. All commands are interpreted by Octave. Sin...
How long a series to maximize expected winnings Riddler Classic 2017-07-14 https://fivethirtyeight.c...
Exploring DrivePro GPS format The Transcend DrivePro 220 exports its videos in Quicktime MOV format,...
Epilepsy Comorbidity Analysis using SCAIView This notebook contains the Quantification of gene overl...
*This notebook contains an excerpt from the [Python Data Science Handbook](http://shop.oreilly.com/p...
I haven't posted much content over the past year as I've been quite preoccupied with other activitie...
Content under Creative Commons Attribution license CC-BY 4.0, code under MIT license (c)2014 L.A. Ba...
Self study from: https://www.kaggle.com/arthurtok/introduction-to-ensembling-stacking-in-python
Build a language detector model The goal of this exercise is to train a linear classifier on text fe...
Tak exploration We want to build an AI for Tak, a simple game that was inspired by the Kingkiller Ch...
Generate initial state We use the code created by the ion trapping group to compute the equilibrium ...
Generate initial state We use the code created by the ion trapping group to compute the equilibrium ...
Decision tree (categorical) Let's try to construct a decision tree for the weather data. If we stick...
Hello Networkx and Planarity NetworkX Homepage Planarity's Github Page Pre-generated Graph DB - On G...
Face Generation In this project, you'll use generative adversarial networks to generate new images o...
ISTRUZIONE E MERCATO DEL LAVORO Abbiamo preso in considerazione tre variabili: tasso occupazione 2...
In this lab we'll look at images as data. In particular, we'll show how to use standard Python libra...