-
Aptiv Connected Services
- Krakow, Poland
- satola.net
Block or Report
Block or report ksatola
Contact GitHub support about this user’s behavior. Learn more about reporting abuse.
Report abuse-
Data-Science-Notes Public
Various resources on advanced analytics and beyond
-
-
ksatola.github.io Public
A container for web-based resources related to ANALYTICS
HTML UpdatedOct 31, 2023 -
-
cerebro-agh Public
This repo contains CREBRO AGH conference artifacts
-
-
template-docker-ubuntu Public
Template configuration of Docker Ubuntu image used for Python development
Dockerfile UpdatedSep 20, 2021 -
-
Analyze-A-B-Test-Results Public
Understand the results of an A/B test run by the website and provide statistical and practical interpretation on the test results
-
Computational-Statistics Public
An introduction to computational statistics with examples and comparison to analytical methods
-
-
-
Train an image classifier to recognize different breeds of dogs, then export it for use in a stand alone application
HTML UpdatedMay 22, 2019 -
-
Coding exercises and calculations used during the course (term 2, Experimental Design and Recommendations)
UpdatedMay 11, 2019 -
Countries-of-the-World Public
Dataset exploration and a blog post with some insights
Jupyter Notebook UpdatedApr 29, 2019 -
Coding exercises and calculations used during the course (term 2, ETL, NLP and ML Pipelines)
HTML UpdatedApr 25, 2019 -
ksatola3.github.io Public
Forked from barryclark/jekyll-nowBuild a Jekyll blog in minutes, without touching the command line.
HTML MIT License UpdatedApr 13, 2019 -
Predict-New-Offer-Success Public
Provide list of customers who will accept a new offer.
UpdatedFeb 11, 2019 -
Coding exercises and calculations used during the course AWS SageMaker, Machine Learning and AI with Python by Chandra Lingam from PacktPub
-
Summarize the dimensions of demographic and customer data and cluster unlabeled data into groups with similar properties
-
Coding exercises and calculations used during the course (term 1, Unsupervised Learning)
-
Train an image classifier to recognize different species of flowers, then export it for use in a stand alone application
-
Coding exercises and calculations used during the course (term 1, Deep Learning)
HTML UpdatedJan 8, 2019 -
CharityML-Donors Public
Finding Donors for CharityML based on U.S. Census data using supervised machine learning algorithms
UpdatedJan 6, 2019 -
Coding exercises and calculations used during the course (term 1, Supervised Learning)
Jupyter Notebook UpdatedDec 30, 2018 -
Sonar-Mines-vs-Rocks Public
Predict metal or rock objects from sonar return data
-
Predict a house price
UpdatedDec 7, 2018 -
US-Airline-Delay-Statistics Public
Create a data visualization story that highlights trends or patterns in a data set (the United States flight delays and performance in 2008 from RITA)
Jupyter Notebook UpdatedDec 6, 2018 -