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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.

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

customer_segments

Use unsupervised machine learning to indentify customer segments

data

Data and code behind the stories and interactives at FiveThirtyEight

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.

harvard-python-for-research

Using Python For Research - Course Instructor Jukka-Pekka "JP" Onnela - Harvard University

machine-learning-cousersa-stanford

Machine Learning ministrado por: Andrew Ng, Associate Professor, Stanford University; Chief Scientist, Baidu; Chairman and Co-founder, Coursera

ted

tensorflow-examples

TensorFlow Tutorial and Examples for beginners

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.

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.