types-of-cross-validation

ubc_computervision

udacity-machine-learning-projects

Projects that I have completed during taking Machine learning engineering course at Udacity

vehicleandlane_detection

The goals / steps of this project are the following: Perform a Histogram of Oriented Gradients (HOG) feature extraction on a labeled training set of images and train a classifier Linear SVM classifier Optionally, you can also apply a color transform and append binned color features, as well as histograms of color, to your HOG feature vector. Note: for those first two steps don't forget to normalize your features and randomize a selection for training and testing. Implement a sliding-window technique and use your trained classifier to search for vehicles in images. Run your pipeline on a video stream (start with the test_video.mp4 and later implement on full project_video.mp4) and create a heat map of recurring detections frame by frame to reject outliers and follow detected vehicles. Estimate a bounding box for vehicles detected.

weather_eink

webscarpping_mlearning

This is my first data science project. I'm actually trying to improve the models to make better predictions.

yahoo-webscrapping

yolov8-deepsort-object-tracking

YOLOv8 Object Tracking using PyTorch, OpenCV and DeepSORT

youtube-projects

This repository contains all the code I use in my YouTube tutorials.

zie225

Machine Learning project