Pinned Repositories
EC601_PROJECT
DeepLearning
EC601-Miniproject2
keithley-memstress
Series of ReRAM characterization modules compatible with Keithley Semiconductor Characterization Systemsinstruments
MachineLearning
"Titanic: Machine Learning from Disaster" is a kernel from Kaggle which focuses on exploratory data analysis, feature engineering, and machine learning. There are many secrets to be revealed beneath the Titanic dataset. In this paper, we tried to find out some of those unknown factors that had affected the survival of passengers when the Titanic was sinking, and also to predict which passengers survived the tragedy with machine learning tools. As a result, we achieved a prediction with over 80% accuracy rate.
Mooc-Regression-Analysis
SmartDoorbell
The goal of our project is to build a secure smart doorbell. There are several similar products like Dropcam, Nest Cam Indoor which are able to help you look after your home and family even when you are not at home. While these products are expensive and they may not have some of the function that we want. What if we want a smart doorbell which can recognize the person who is pressing the doorbell, and if this person has access in our database, door will open automatically. The user will receive a notification message and email at the same time. We are still working on realizing the function that the Pi will send the image to user’s phone and user can send a signal to open the door when recognition fails.
SoccerOffsideDetection
TwitterAPI
EC601-Miniproject1
LekaiSong's Repositories
LekaiSong/DeepLearning
EC601-Miniproject2
LekaiSong/keithley-memstress
Series of ReRAM characterization modules compatible with Keithley Semiconductor Characterization Systemsinstruments
LekaiSong/MachineLearning
"Titanic: Machine Learning from Disaster" is a kernel from Kaggle which focuses on exploratory data analysis, feature engineering, and machine learning. There are many secrets to be revealed beneath the Titanic dataset. In this paper, we tried to find out some of those unknown factors that had affected the survival of passengers when the Titanic was sinking, and also to predict which passengers survived the tragedy with machine learning tools. As a result, we achieved a prediction with over 80% accuracy rate.
LekaiSong/Mooc-Regression-Analysis
LekaiSong/SmartDoorbell
The goal of our project is to build a secure smart doorbell. There are several similar products like Dropcam, Nest Cam Indoor which are able to help you look after your home and family even when you are not at home. While these products are expensive and they may not have some of the function that we want. What if we want a smart doorbell which can recognize the person who is pressing the doorbell, and if this person has access in our database, door will open automatically. The user will receive a notification message and email at the same time. We are still working on realizing the function that the Pi will send the image to user’s phone and user can send a signal to open the door when recognition fails.
LekaiSong/SoccerOffsideDetection
LekaiSong/TwitterAPI
EC601-Miniproject1