César Trevisan's repositories
Advanced-Lane-Finding
Built an advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding. Identified lane curvature and vehicle displacement. Overcame environmental challenges such as shadows and pavement changes.
Finding-Lane-Lines-on-the-Road
Detected highway lane lines on a video stream. Used OpencV image analysis techniques to identify lines, including Hough Transforms and Canny edge detection.
Vehicle-Detection-and-Tracking
Created a vehicle detection and tracking pipeline with OpenCV, histogram of oriented gradients (HOG), and support vector machines (SVM). Optimized and evaluated the model on video data from a automotive camera taken during highway driving.
awesome-public-datasets
An awesome list of high-quality open datasets in public domains (on-going). By everyone, for everyone!
boston-housing
Built a model to predict the value of a given house in the Boston real estate market using various statistical analysis tools. Identified the best price that a client can sell their house utilizing machine learning.
Breast-Cancer-Detection
Machine Learning Engineer Nanodegree Capstone Project
CarND-Camera-Calibration
Images and notebook for camera calibration
Harvard-Python-for-Research
Using Python For Research - Course Instructor Jukka-Pekka "JP" Onnela - Harvard University
Traffic-Sign-Classification
Built and trained a deep neural network to classify traffic signs, using TensorFlow. Experimented with different network architectures. Performed image pre-processing and validation to guard against overfitting.
Use-Deep-Learning-to-Clone-Driving-Behavior
Built and trained a convolutional neural network for end-to-end driving in a simulator, using TensorFlow and Keras. Used optimization techniques such as regularization and dropout to generalize the network for driving on multiple tracks.
customer_segments
Use unsupervised machine learning to indentify customer segments
data
Data and code behind the stories and interactives at FiveThirtyEight
Machine-Learning-Cousersa-Stanford
Machine Learning ministrado por: Andrew Ng, Associate Professor, Stanford University; Chief Scientist, Baidu; Chairman and Co-founder, Coursera
TensorFlow-Examples
TensorFlow Tutorial and Examples for beginners