jofujofu Goto Github PK

automated-manual-comparison

Automated vs Manual Feature Engineering Comparison. Implemented using Featuretools.

bayesian-statistics-coursera

Bayesian Statistics: From Concept to Data Analysis by University of California, Santa Cruz

blogs

Jupyter notebooks that support my graph data science blog posts at https://bratanic-tomaz.medium.com/

code-snipets-in-python

Small and usefull snipets of python to easy approaches

coursera

Quiz & Assignment of Coursera

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

featexp

Feature exploration for supervised learning

geolocation-python

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.

gmail

A Pythonic interface for Google Mail

gmail-sender

Simple library to send email using GMail (includes background worker and logging classes) [Python 2/3 support]

going-dutch

Using Data Science and Machine Learning to find an apartment in Amsterdam.

kalman-and-bayesian-filters-in-python

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.

machine-learning-datasets

A collection of all the datasets that I have analyzed and various algorithms used for training.

maestro

Python class to support Pololu's Maestro servo controller over USB serial. Great with Raspberry Pi.

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

notebooks

predicting_real_estate_prices_using_scikit-learn

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)

prompt-engineering

Tips and tricks for working with Large Language Models like OpenAI's GPT-4.

pythonsb

A python implementation of the Servo Blaster program, for controlling servos on a raspberry pi.

raspberry_pi_ais328dqtr_ultra_low_power_3axis_accelometer_sensor_python_library

AIS328DQTR Ultra Low Power 3Axis accelometer Sensor Interfacing With Raspberry Pi

smartmeter-ha

Integrates a KaifaMA309 smartmeter into home assistant.

stanford-cs-230-deep-learning

VIP cheatsheets for Stanford's CS 230 Deep Learning

text_predictor

Char-level RNN LSTM text generator📄.

twitter-data

A GUI window asks you for a keyword and sample size and analyses the sentiment of tweets about the keyword in a scatterplot.

vergeml

Machine Learning Environment - alpha version