24 items
-
Credentials
-
Practical Data Science
deeplearning.ai / AWS / www.coursera.org
Prepare data, detect statistical data biases, perform feature engineering at scale to train models, & train, evaluate, & tune models with AutoML. Store & manage ML features using a feature store, & debug, profile, tune, & evaluate models while tracking data lineage and model artifacts. Build, deploy, monitor, & operationalize end-to-end machine learning pipelines. Build data labeling and human-in-the-loop pipelines to improve model performance with human intelligence
-
Certification
-
Neo4j Certified Professional
Neo4j / graphacademy.neo4j.com
Neo4j property graph model, Neo4j components used for development, Cypher queries, Creating nodes and relationships, Importing data
-
Graph Data Modeling for Neo4j
Neo4j / graphacademy.neo4j.com
How to model your application domain as a graph using Neo4j best practices
-
Implementing Graph Data Models in Neo4j 4.x
Neo4j / graphacademy.neo4j.com
Create a database for a graph data model and evolve the graph.
-
Analyze Datasets and Train ML Models using AutoML
Coursera / coursera.org
Prepare data, detect statistical data biases, and perform feature engineering at scale to train models with pre-built algorithms.
-
Build, Train, and Deploy ML Pipelines using BERT
Coursera / www.coursera.org
Store and manage machine learning features using a feature store. Debug, profile, tune and evaluate models while tracking data lineage and model artifacts.
-
Optimize ML Models and Deploy Human-in-the-Loop Pipelines
Coursera / coursera.org
Human-in-the-Loop Pipelines, Distributed Model Training and Hyperparameter Tuning, Cost Savings and Performance Improvements, A/B Testing and Model Deployment, Data Labeling at Scale
-
Building Modern Python Applications on AWS
Coursera / coursera.org
This certificate verifies my successful completion of Amazon Web Services's "Building Modern Python Applications on AWS" on Coursera
-
-
Followed Courses
-
Graph Data Modeling for Neo4j
Neo4J / neo4j.com
How to model your application domain as a graph using Neo4j best practices.
-
Implementing Graph Data Models in Neo4j 4.x
Neo4j / neo4j.com
Create a database for a graph data model and evolve the graph.
-
Machine Learning Crash Course  | Google Developers
Google Developers / developers.google.com
-
Practical Data Science on the AWS Cloud
DeepLearning.AI via Coursera
1 Reviews
-
Analyze Datasets and Train ML Models using AutoML
DeepLearning.AI via Coursera
1 Reviews
-
Build, Train, and Deploy ML Pipelines using BERT
DeepLearning.AI via Coursera
1 Reviews
-
Optimize ML Models and Deploy Human-in-the-Loop Pipelines
DeepLearning.AI via Coursera
1 Reviews
-
Building Modern Python Applications on AWS
Amazon Web Services via Coursera
1 Reviews
-
Introduction to Marketing
University of Pennsylvania via Coursera
71 Reviews
-
Learn Like a Pro: Science-Based Tools to Become Better at Anything
via edX
280 Reviews
-
Presentation skills: Designing Presentation Slides
Tomsk State University via Coursera
849 Reviews
-
Becoming Career Smart: How to Sell Yourself
Deakin University via FutureLearn
1 Reviews
-
Mountains 101
University of Alberta via Coursera
624 Reviews
-