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Data-Streaming-Nanodegree-Project_02-Evaluate-Human-Balance-with-Spark-Streaming
Design data streaming architecture and API for a real-life application called the Step Trending Electronic Data Interface (STEDI). It is a working application used to assess fall risk for seniors. When a senior takes a test, they are scored using an index which reflects the likelihood of falling, and potentially sustaining an injury in the course of walking. STEDI uses a Redis datastore for risk score and other data. The Data Science team has completed a working graph for population risk at a STEDI clinic. The problem is the data is not populated yet. You will work with Kafka Connect Redis Source events and Business Events to create a Kafka topic containing anonymized risk scores of seniors in the clinic.DNN_Speech_Recognizer
Build a deep neural network that functions as part of an end-to-end automatic speech recognition (ASR) pipeline. The model will convert raw audio into feature representations, which will then turn them into transcribed text.DSI_NC_table-of-contents
Mathematical-Foundations-of-Machine-Learning-Euclidean-Distance
first programming assignment in Machine Learning and Reinforcement Learning in Finance SpecializationObject-oriented-programming-Drawing-with-Cpp-and-OpenCV
Data-Engineering-Nanodegree-Capstone-Project
Develop a data model designed for Online Analytical Processing (OLAP) to support queries analyzing US immigration data. In the data model, we complemented the US immigration data with US cities' demographics data (ETL'ed in a fact table) as well as dimension tables for arrival ports, countries, visa types, etc.CLT
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