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Python
Created about 3 years ago
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AbdullahMu

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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.

Data-Pipelines-with-Airflow

Schedule, automate, and monitor data pipelines using Apache Airflow. Run data quality checks, track data lineage, and work with data pipelines in production.

Python

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.

Jupyter Notebook

DSI_NC_table-of-contents

Jupyter Notebook

Mathematical-Foundations-of-Machine-Learning-Euclidean-Distance

first programming assignment in Machine Learning and Reinforcement Learning in Finance Specialization

Jupyter Notebook

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