Josef Füricht, Dr.'s Projects
Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.
Bayesian Statistics: From Concept to Data Analysis by University of California, Santa Cruz
Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/
Small and usefull snipets of python to easy approaches
Quiz & Assignment of Coursera
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Feature exploration for supervised learning
Geolocation is simple google maps api for python users. This application allows you to get information about given location Application returns such information as: country, city, route/street, street number, reverse geocode, lat and lng, travel distance and time for a matrix of origins and destinations.
A Pythonic interface for Google Mail
Simple library to send email using GMail (includes background worker and logging classes) [Python 2/3 support]
Using Data Science and Machine Learning to find an apartment in Amsterdam.
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A collection of all the datasets that I have analyzed and various algorithms used for training.
Python class to support Pololu's Maestro servo controller over USB serial. Great with Raspberry Pi.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest-, and Neural Network MLP Regression (via scikit-learn)
Tips and tricks for working with Large Language Models like OpenAI's GPT-4.
A python implementation of the Servo Blaster program, for controlling servos on a raspberry pi.
AIS328DQTR Ultra Low Power 3Axis accelometer Sensor Interfacing With Raspberry Pi
Integrates a KaifaMA309 smartmeter into home assistant.
VIP cheatsheets for Stanford's CS 230 Deep Learning
Char-level RNN LSTM text generator📄.
A GUI window asks you for a keyword and sample size and analyses the sentiment of tweets about the keyword in a scatterplot.
Machine Learning Environment - alpha version