Erickramirez

CarND-Capstone

CarND-Extended-Kalman-Filter-Project-master

Implementation of extended Kalman filter in C++ for Lidar and Radar measurements.

CarND-Kidnapped-Vehicle-Project

Implementation of Particle-Filter in C++ for localization.

CarND-MPC-Project

Implementation of MCP (Model-Predictive-Control ) in C++ to race around the lake track.

CarND-Path-Planning-Project

In this project your goal is to safely navigate around a virtual highway with other traffic that is driving +-10 MPH of the 50 MPH speed limit.

CarND-PID-Control-Project

Implementation of PID control (Proportional-Integral-Derivative controller ) in C++ to race araound the lake track.

RoboND-DeepRL-Project

This project is based on the Nvidia open source project "jetson-reinforcement" developed by Dustin Franklin. The goal of the project is to create a DQN agent and define reward functions to teach a robotic arm to carry out two primary objectives: Have any part of the robot arm touch the object of interest, with at least a 90% accuracy. Have only the gripper base of the robot arm touch the object, with at least a 80% accuracy.

Sparkify-Data-Lake-with-Apache-Spark

This project has as output a Data Lake solution. It building an ETL pipeline that extracts their data from S3, processes them using Spark, and loads the data back into S3 as a set of dimensional tables. This will allow their analytics team to continue finding insights in what songs their users are listening to.

Sparkify-Data-Pipelines-with-Airflow-S3-and-Redshift

This project has to output a Dataware house solution and create high-grade data pipelines that are dynamic and built from reusable tasks, monitored, and allow easy backfills. They have also noted that the data quality plays a big part when analyses are executed on top of the data warehouse and want to run tests against their datasets after the ETL steps have been executed to catch any discrepancies in the datasets.

Understanding-Customer-Churning-using-Spark-and-ML

Spark MLlib implementation to build machine learning models with large datasets for predicting churn rates

Erickramirez/Sparkify-Data-Pipelines-with-Airflow-S3-and-Redshift

This project has to output a Dataware house solution and create high-grade data pipelines that are dynamic and built from reusable tasks, monitored, and allow easy backfills. They have also noted that the data quality plays a big part when analyses are executed on top of the data warehouse and want to run tests against their datasets after the ETL steps have been executed to catch any discrepancies in the datasets.

Erickramirez/RoboND-DeepRL-Project

This project is based on the Nvidia open source project "jetson-reinforcement" developed by Dustin Franklin. The goal of the project is to create a DQN agent and define reward functions to teach a robotic arm to carry out two primary objectives: Have any part of the robot arm touch the object of interest, with at least a 90% accuracy. Have only the gripper base of the robot arm touch the object, with at least a 80% accuracy.

Erickramirez/Sparkify-Data-Lake-with-Apache-Spark

This project has as output a Data Lake solution. It building an ETL pipeline that extracts their data from S3, processes them using Spark, and loads the data back into S3 as a set of dimensional tables. This will allow their analytics team to continue finding insights in what songs their users are listening to.

Erickramirez/Understanding-Customer-Churning-using-Spark-and-ML

Spark MLlib implementation to build machine learning models with large datasets for predicting churn rates

Erickramirez/CarND-Capstone

Erickramirez/CarND-MPC-Project

Implementation of MCP (Model-Predictive-Control ) in C++ to race around the lake track.

Erickramirez/CarND-Path-Planning-Project

In this project your goal is to safely navigate around a virtual highway with other traffic that is driving +-10 MPH of the 50 MPH speed limit.

Erickramirez/CarND-PID-Control-Project

Implementation of PID control (Proportional-Integral-Derivative controller ) in C++ to race araound the lake track.

Erickramirez/CarND-Semantic-Segmentation

Implementing Semantic Segmentation using Fully Convolutional Network (FCN) with VGG-16

Erickramirez/Data-Engineering-ETL-to-Model-the-Data

The main dataset will include data on immigration to the United States, and supplementary datasets will include data on airport codes, U.S. city demographics, and temperature data.

Erickramirez/deeplearning.ai

Deep Learning exercises

Erickramirez/dermatologist-ai

Erickramirez/disaster-response-pipeline

Analyze disaster data from Figure Eight to build a model for an API that classifies disaster messages.

Erickramirez/ingest_on_demand

This project has as output a Data warehouse solution. It includes building an ETL pipeline that extracts their data from Google Drive, stages them in a PostgreSQL instance, and transforms data into a set of dimensional tables. Additional, there is an API service to analyze the data ingested.

Erickramirez/Recommendations-with-IBM

Recommendation on real data from the IBM Watson Studio platform for articles

Erickramirez/RoboND-DeepLearning-Project

RoboND Term 1 Deep Learning Project, Follow-Me.

Erickramirez/RoboND-Home-Service-Robot

This is the final project of Udacity Robotics Nanodegree. This is an implementation of a small home service robot simulated in Gazebo environment.

Erickramirez/RoboND-Kinematics

It performs Inverse Kinematics, meaning given a list of end-effector poses, it calculates joint angles for the Kuka KR210.

Erickramirez/RoboND-Localization-Project

It uses ROS packages to accurately localize a mobile robot inside a provided map in the Gazebo and RViz simulation environments.

Erickramirez/RoboND-Perception-Project

The PR2 has been outfitted with an RGB-D sensor, this sensor is a bit noisy, much like real sensors. We Expect successfully complete tabletop pick and place operation using PR2

Erickramirez/RoboND-Robotics-Inference

It is the implementation of a car model classification using deep learning on the Nvidia DIGITS 6

Erickramirez/RoboND-Rover

This project is modeled after the NASA sample return challenge and it includes perception, decision making and actuation. It is using Unity game engine.

Erickramirez/RoboND-SLAM-Project

It creates a 2D occupancy grid and 3D octomap from a provided simulated environment.

Erickramirez/sagemaker-deployment

Code and associated files for the deploying ML models within AWS SageMaker

Erickramirez/SF-crime-statistics-with-spark-streaming

Analize a real-world dataset of the SF Crime rate, extracted from kaggle, to provide statisticas analysis using Apache Spart Structured Streaming

Erickramirez/Sparkify-Data-Modeling-with-Cassandra

Create an Apache Cassandra database which can create queries on song play data to answer the questions, and wish to bring you on the project.

Erickramirez/Sparkify-Data-Warehouse-with-S3-and-Redshift

This project has as output a Data Warehouse solution. It includes building an ETL pipeline that extracts their data from S3, stages them in Redshift, and transforms data into a set of dimensional tables for their analytics team to continue finding insights in what songs their users are listening to.

Erickramirez/Stack-Overflow-data-analysis

Analisis on StackOverflow's annual survey

Erickramirez/Udacity-deep-learning-v2-pytorch

Erickramirez/UdacityOpenSource

A repository to keep all open sources projects that created by individuals or study groups.