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automl abtesting bias-detection model-deployment mlops data-labeling aws-sagemaker data-science matplotlib statistical-data pandas bert
Solutions on Practical Data Science Specialization on Coursera (offered by deeplearning.ai)
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# Solutions on Practical Data Science Specialization Access all courses in the Coursera [Practical Data Science Specialization](https://www.coursera.org/specializations/practical-data-science) Specialization offered by `deeplearning.ai`. This repo contains the **SOLUTIONS** of exercises/labs to achieve the badge. <!-- {width=50%} --> <center><img src="certificate.png" alt="Certificate" width=70%/></center> ## Course keynotes and solutions of related quizzes, assignments Practical Data Science Specialization on Coursera contains three courses: ### 1. [Course 1: Analyze Datasets and Train ML Models using AutoML](https://www.coursera.org/learn/automl-datasets-ml-models?specialization=practical-data-science) #### Week 1: <!-- - [x] Keynotes: > 1. **Artificial Intelligence (AI)** mimics human behavior. > 2. **Machine Learning (ML)** is a subset of AI that uses statistical methods and algorithms that are able to learn from data without being explicitly programme