Sarka Pribylova


Email: sarka.pribylova@gmail.com

Regression models are the principles of machine learning models as well. They help to understand the dataset distributions. The objective...

The purpose of this contribution is to compare modeling and scoring methodologies for given E-Commerce open source sample file, select...

The purpose of this contribution is to try various pretrained semantic models and compare cosinus similarity scores among sentences. As...

The purpose of this contribution is to simulate brown motion moves and collisions and save it e.g. to gif file by pillowwriter tool. 1....

In this contribution we use yahoo finance, wiki data and networkx to download the daily stock prices for the list of companies. We...

The purpose of this contribution is to create random geometric graph (RDG). We generate the random edge values for lollipop graph and...

barabasi graph - Returns a random graph using Barabási–Albert preferential attachment. A graph of n nodes is grown by attaching new nodes...

air-reasoner - Reasoner for the AIR policy language, based on cwm". Brickschema – Brick Ontology Python package. CubicWeb - a framework...

Mesa is a Python framework for agent-based modeling. The task is to replicate NetLogo ABM Urban Suite Pollution in Mesa python library...

Mesa is a Python framework for agent-based modeling. I created example interactive graph in Python and Mesa. Dashboard like widget can be...

Mesa is a Python framework for agent-based modeling. I created example application simulation in Python and Bokeh and attached below....

These days I have a chance to meet participants of the mathematical conference at the highest mountain of the Czech republic at one of...

Sample datafile is providing numerical and categorical variables for each case id. We can calculate final score for each case id and see...

# PySpark - Data Frame !pip install pyspark pip install findspark import findspark # Use pandas to import csv import pandas as pd...

Below are the basic Mac Terminal Commands to set up Anaconda, PySpark and Java on Mac for Jupyter or Colaboratory. 1. Revise in Terminal...

Many years ago I used the Random Forest methodology in R Studio to calculate the feature importance in Coffee Data Set. Random forests...

RFM segmentation is the basic customer segmentation based on recency, frequency and monetary value of customer. Recency (R): When was the...

Chatbot characteristics are small data set, very simple analytics and primitive communication function. The first chatbots were ...

We can analyze marketing productivity, keywords, searched data, tables, information by google, e.g. on wikipedia, audience, marketing...

CAPTCHA / Completely Automated Public Turing test to tell Computers and Humans Apart / package is for authentication, provides entry to...

There are many areas, how sentiment analytics could bring better business performance. Python offers various approaches to sentiment and...

The code provides Yes/No prediction, fitting binary bootstrap sample for mistakes in data entries. Leo Breiman was (1928 – 2005)...

TensorFlow is a free and open-source software library for machine learning. It can be used across a range of tasks but has a particular...

Watson Studio, formerly Data Science Experience or DSX, is IBM’s software platform for data science. The platform consists of a workspace...