Sunitha Radhakrishnan's repositories
Product-demand-prediction-using-API-mlflow
Product Demand Prediction on e-commerce dataset for a complete ML Cycle using deployable API. Mlflow is a deployable API where it is responsible for complete ML Lifecycle from collecting data until deployment in cloud or any server.
Anomaly-Detection-Multivaraite-Time-Series-Dataset
Develop a anomaly detection system using INFLUXDB - Python/ R to detect anomalies and events in both offline and online mode(Real-time)
Applied-Artificial-Intelligence-Robot-Case-Study-
Evaluate the performance / speed of gait modular robots using evolutionary algorithms.
AWSglue-ETLmigration
Repository with ETL Migration data for a sample proposal that requires glue and Pyspark in AWS.
Mini-Project-on-Boston-Housing-Dataset
Exploring and Exploiting the Randomforest Algorithm on predicting the Boston housing price.
OPC-Interface-Case-Study-Project
Establish OPC Connection and develop,test an OPC Communication Interface between a automation Server(Codesys) and client(Unisim - Control process simulator). Dcom configuration was made and MATRIKON test servers and client system were used. Testing of interface by Data Transfer from and to client system. Developed a simulated process model in UNISIM(CLIENT) acting as a plant with valve-controller flow system and data were made to read/write fro or to CODESYS(SERVER).
TaxiBooking_usecase
To predict taxi bookings inorder to manage the capacity with hourly data.