The formal groundwork.

Lovely Professional University

Bachelor of Technology, Computer Science & Engineering — major in Data Science.

TensorFlow Developer Specialization

Introduction to TensorFlow for AI and deep learning; convolutional neural networks; natural language processing in TensorFlow; sequences, time series and prediction.

Specialization credential

Machine Learning — Andrew Ng

Foundational supervised and unsupervised learning, regularization, model evaluation and practical advice on applying machine learning.

Certificate

DSE200x — Python for Data Science

The data science process, Python and Jupyter, manipulating and analyzing uncurated datasets, basic statistical analysis and machine learning methods, and effective visualization of results.

Certificate

How Google Does Machine Learning

How machine learning is framed, prioritized and operationalized at scale on Google Cloud.

Certificate

Getting Started with AWS Machine Learning

AWS machine learning services and the workflow from data preparation through to deployed inference.

Certificate

Spark Overview for Scala Analytics

Distributed analytics with Apache Spark from Scala — the foundation for the PySpark and Spark work that followed in AML and document pipelines.

Certificate

Novel XGBoost Tuned Machine Learning Model for Software Bug Prediction

A tuned XGBoost classification model for predicting software defects, published through IEEE and selected as a special issue at further conferences. Presented at the International Conference on Intelligent Engineering and Management.

IEEE Xplore Conference

Prediction on Diabetes Patients' Hospital Readmission Rates

Published in ACM proceedings at the 3rd International Conference on Advanced Informatics for Computing Research.

ACM Digital Library Conference

Writing on machine learning & applied AI

Posts on AI and ML topics for practitioners.

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