Regression detection in time series data
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Updated
Feb 27, 2016 - Python
Regression detection in time series data
Extended Kalman Filter / Sensor Fusion Project
A recommendation system for Restaurants!
Sensor Fusion: Unscented Kalman Filter, LiDAR&RADAR
Udacity Self Driving Car Engineer Project - Unscented Kalman Filter & Sensor Fusion. See src/ukf.cpp and src/tools.cpp for my solution..
android 屏幕适配方案,app module是利用反射做的代码适配; precentscreen是利用自定义view和attrs来做到屏幕适配
Utilized a Kalman Filter to estimate the state of a moving object of interest with noise
Building a model which can predict the number of online 'shares' an article will get based on a set of variables attached to it. (Python)
Self Driving Car Project 6 - Sensor Fusion(Extended Kalman Filter)
Compare the quality between two images using RMSE, SSIM, and PSNR. (part of I3D 2018 Montage4D.com)
🏎️ Extended Kalman Filter (EKF) Localization Project using C++ and Eigen library for the Self-Driving Car Nanodegree at Udacity
🏎️ Unscented Kalman Filter (UKF) Localization Project using C++ and Eigen library for the Self-Driving Car Nanodegree at Udacity
Unscented Kalman Filter that estimates the location of a moving object via Radar and Lidar sensor fusion
Applied Least Square, Ridge and Lasso regression models to predict the number of comments a blog post will receive
Using Root Mean Squared Error to evaluate performace of Kalman Filter
Code for the Elo Merchant Category Recommendation Kaggle challenge
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