Michal Sieczkos's repositories
covid19-predictive-analysis
COVID-19 data analysis and forecasting using machine learning and deep learning methods.
fmnist-image-classification
Building neural networks using TensorFlow to recognize different clothes from Fashion-MNIST dataset
bdd100k-yolov4-object-detection
Training a computer vision algorithm on a BDD100K dataset for autonomous driving, and applying it to perform object detection task.
handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
housing-data-analysis
Coursework project based on undertaking an analysis of a real world dataset (housing data).
m1-machine-learning-test
Code for testing various M1 Chip benchmarks with TensorFlow.
practical-statistics-for-data-scientists
Code repository for O'Reilly book
pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Smart-Traffic
A system and method for the prediction of vehicle traffic congestion on a given roadway within a region.