Cycle-accurate pre-silicon simulator of RISC-V and MIPS CPUs

Prediction of Stock price using Recurrent Neural Network (RNN) models. Contains GRU, LSTM, Bidirection LSTM & LSTM combinations with GRU units. The models were deveoped using the keras module from Tensorlfow.

The goal of this project is to comparatively analyze the effectiveness of prediction algorithms on stock market data and get general insight on this data through visualization to predict future stock behavior and value at risk for each stock. The project encompasses the concept of Data Mining and Statistics

Foundation Services that power the decisions behind financial and healthcare solutions

This work presents an infrastructure that focuses on the capture and storage of the project execution data history, the prediction of the results of the unit tests through prediction algorithms: Logistic Regression, Naive Bayes and C4.5 Algorithm, and the provision of data for external applications. It also provides preview elements which help i…

Utilizing Python, this project analyzes real-world healthcare data, leveraging machine learning algorithms to predict patients' metastatic diagnosis periods.