Particle Filter Localization for a Differential Drive Robot using LiDAR scans in a 2D Occupancy Grid
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Updated
Oct 9, 2021 - C++
Particle Filter Localization for a Differential Drive Robot using LiDAR scans in a 2D Occupancy Grid
Kalman Filter algorithm simulation with Markov process for state estimation.
Repository to create occupancy grid map from rosbag file containing lidar and wheel odometry data in ROS2
Time Series Analysis using Dynami Linear Programming (DLM)
Collection of data related projects completed in part or fully by Jefferson Mathews
My submission to Housing price prediction competition on kaggle using XGBoost, Custom encoding, Kfold validation, Feature importance
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