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advanced-data-science-with-ibm icon advanced-data-science-with-ibm

As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.

advanced-data-science-with-ibm-specialization-4 icon advanced-data-science-with-ibm-specialization-4

As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.

capstone_ds icon capstone_ds

In this Capstone Project challenge, you will put into practice some of the key principles and techniques you have learned in Machine Learning with Python

coursera-algorithmic-toolbox icon coursera-algorithmic-toolbox

This repository contains all the solutions for the assignments of the course - Algorithmic Toolbox offered on Coursera.

coursera-applied-data-science-capstone icon coursera-applied-data-science-capstone

Peer-Graded Assignment: Capstone Project Notebook | Professional Certificate from IBM is intended for anyone interested in developing skills and experience to pursue a career in Data Science or Machine Learning.

coursera-google-cloud-platform-fundamentals-core-infrastructure icon coursera-google-cloud-platform-fundamentals-core-infrastructure

About this Course This course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP). You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery. You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.

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