Krzysztof Satola's repositories
Data-Science-Notes
Various resources on advanced analytics and beyond
Analyze-A-B-Test-Results
Understand the results of an A/B test run by the website and provide statistical and practical interpretation on the test results
Computational-Statistics
An introduction to computational statistics with examples and comparison to analytical methods
data-science-from-scratch
Exercises based on Joel Grus book
data-science-postgrad
AGH Data Science Postgraduate Studies Notes
Image-Classifier-with-Deep-Learning
Train an image classifier to recognize different species of flowers, then export it for use in a stand alone application
AWS-SageMaker-Machine-Learning-and-AI-with-Python
Coding exercises and calculations used during the course AWS SageMaker, Machine Learning and AI with Python by Chandra Lingam from PacktPub
cerebro-agh
This repo contains CREBRO AGH conference artifacts
Identify-Customer-Segments-with-Arvato
Summarize the dimensions of demographic and customer data and cluster unlabeled data into groups with similar properties
Boston-House-Price-Prediction
Predict a house price
CharityML-Donors
Finding Donors for CharityML based on U.S. Census data using supervised machine learning algorithms
Countries-of-the-World
Dataset exploration and a blog post with some insights
Disaster-Response
ETL and ML Pipelines
Dog-Breed-Classifier-with-Deep-Learning
Train an image classifier to recognize different breeds of dogs, then export it for use in a stand alone application
Iris-Flowers-Classification
Predict species from flower measurements
ksatola.github.io
A container for web-based resources related to ANALYTICS
ksatola3.github.io
Build a Jekyll blog in minutes, without touching the command line.
numizmatyka-www
Public website repository for numismatics
Predict-New-Offer-Success
Provide list of customers who will accept a new offer.
Sonar-Mines-vs-Rocks
Predict metal or rock objects from sonar return data
template-docker-ubuntu
Template configuration of Docker Ubuntu image used for Python development
Udacity-Data-Scientist-Experimental-Design-and-Recommendations
Coding exercises and calculations used during the course (term 2, Experimental Design and Recommendations)
Udacity-Data-Scientist-Nanodegree-Deep-Learning
Coding exercises and calculations used during the course (term 1, Deep Learning)
Udacity-Data-Scientist-Nanodegree-Pipelines
Coding exercises and calculations used during the course (term 2, ETL, NLP and ML Pipelines)
Udacity-Data-Scientist-Nanodegree-Supervised-Learning
Coding exercises and calculations used during the course (term 1, Supervised Learning)
Udacity-Data-Scientist-Nanodegree-Unsupervised-Learning
Coding exercises and calculations used during the course (term 1, Unsupervised Learning)
US-Airline-Delay-Statistics
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)