Pinned Repositories
Artificial-Intelligence
The topics may include: AI methodology and fundamentals; intelligent agents; search algorithms; game playing; supervised and unsupervised learning; decision tree learning; neural networks; nearest neighbour methods; dimensionality reduction; clustering; kernel machines; support vector machines; uncertainty and probability theory; probabilistic reasoning in AI; Bayesian networks; statistical learning; fuzzy logic.
Big-Data-Mining
Analysis of millions of supermarket shopping information with Hadoop architecture，and using distributed operations to get frequent item-sets of data sets
Elo-Merchant-Category-Recommendation
ELO - a Brazilian payment service company. Elo has partnerships with many merchants. Merchants want to develop discount strategies and discounts for specific users, that is, personalized recommendations. Elo has a business metric internally called loyalty score. Elo hopes to pass a series of historical data to each user. The loyalty score (per card) is predicted to improve the accuracy of the recommendation.
Encrypt-Currency-Analysis
Regression Part of Project and Database
Microsoft-Malware-Prediction
The malware industry continues to be a well-organized, well-funded market dedicated to evading traditional security measures. Once a computer is infected by malware, criminals can hurt consumers and enterprises in many ways. With more than one billion enterprise and consumer customers, Microsoft takes this problem very seriously and is deeply invested in improving security. As one part of their overall strategy for doing so, Microsoft is challenging the data science community to develop techniques to predict if a machine will soon be hit with malware. As with their previous, Malware Challenge (2015), Microsoft is providing Kagglers with an unprecedented malware dataset to encourage open-source progress on effective techniques for predicting malware occurrences. Can you help protect more than one billion machines from damage BEFORE it happens? This competition is hosted by Microsoft, Windows Defender ATP Research, Northeastern University College of Computer and Information Science, and Georgia Tech Institute for Information Security & Privacy.
ML_Model
Machine learning model sample
Robot-Detect-Maps-Project
The simulated scene is for the lunar rover to find the debris in the lunar survey terrain and transmit the data to the earth in real time. The functions include automatic shortest path finding, automatic obstacle avoidance, shape detection, remote control, graphical map data conversion, which be converted into an image display to the GUI.
VSB-Power-Line-Fault-Detection
Kaggle Competition-VSB Power Line Fault Detection
JiashiSong's Repositories
JiashiSong/Big-Data-Mining
Analysis of millions of supermarket shopping information with Hadoop architecture，and using distributed operations to get frequent item-sets of data sets
JiashiSong/Microsoft-Malware-Prediction
The malware industry continues to be a well-organized, well-funded market dedicated to evading traditional security measures. Once a computer is infected by malware, criminals can hurt consumers and enterprises in many ways. With more than one billion enterprise and consumer customers, Microsoft takes this problem very seriously and is deeply invested in improving security. As one part of their overall strategy for doing so, Microsoft is challenging the data science community to develop techniques to predict if a machine will soon be hit with malware. As with their previous, Malware Challenge (2015), Microsoft is providing Kagglers with an unprecedented malware dataset to encourage open-source progress on effective techniques for predicting malware occurrences. Can you help protect more than one billion machines from damage BEFORE it happens? This competition is hosted by Microsoft, Windows Defender ATP Research, Northeastern University College of Computer and Information Science, and Georgia Tech Institute for Information Security & Privacy.
JiashiSong/Artificial-Intelligence
The topics may include: AI methodology and fundamentals; intelligent agents; search algorithms; game playing; supervised and unsupervised learning; decision tree learning; neural networks; nearest neighbour methods; dimensionality reduction; clustering; kernel machines; support vector machines; uncertainty and probability theory; probabilistic reasoning in AI; Bayesian networks; statistical learning; fuzzy logic.
JiashiSong/Elo-Merchant-Category-Recommendation
ELO - a Brazilian payment service company. Elo has partnerships with many merchants. Merchants want to develop discount strategies and discounts for specific users, that is, personalized recommendations. Elo has a business metric internally called loyalty score. Elo hopes to pass a series of historical data to each user. The loyalty score (per card) is predicted to improve the accuracy of the recommendation.
JiashiSong/Encrypt-Currency-Analysis
Regression Part of Project and Database
JiashiSong/ML_Model
Machine learning model sample
JiashiSong/Robot-Detect-Maps-Project
The simulated scene is for the lunar rover to find the debris in the lunar survey terrain and transmit the data to the earth in real time. The functions include automatic shortest path finding, automatic obstacle avoidance, shape detection, remote control, graphical map data conversion, which be converted into an image display to the GUI.
JiashiSong/VSB-Power-Line-Fault-Detection
Kaggle Competition-VSB Power Line Fault Detection