Open Source AutoML Tools: AutoGluon, TransmogrifAI, Auto-sklearn, and NNI - Bizety
Difference Between fit(), transform(), fit_transform() and predict() methods in Scikit-Learn
how to specify inference container built in "Inference Pipeline with Scikit-learn and Linear Learner.ipynb" · Issue #1154 · aws/amazon-sagemaker-examples · GitHub
Deploying a Scikit-Learn Model on AWS Using SKLearn Estimators, Local Jupyter Notebooks, and the Terminal | by Quinn Lanners | Towards Data Science
An introduction to Machine Learning with scikit-learn (October 2018)
Top 20 Machine Learning Frameworks You Must Know - TechVidvan
Amazon SageMaker adds Scikit-Learn support | AWS Machine Learning Blog
scikit-learn : Machine Learning Simplified: Implement scikit-learn into every step of the data science pipeline
An introduction to Machine Learning with scikit-learn (October 2018)
scikit-learn : Machine Learning Simplified: Implement scikit-learn into every step of the data science pipeline: Garreta, Raul, Moncecchi, Guillermo, Hauck, Trent, Hackeling, Gavin: 9781788833479: Amazon.com: Books
Unsupervised learning using Scikit Learn
Mastering Machine Learning with scikit-learn, Hackeling, Gavin, eBook - Amazon.com
Train and host Scikit-Learn models in Amazon SageMaker by building a Scikit Docker container | AWS Machine Learning Blog
Machine Learning Models on S3 and Redshift with Python | Dremio
Decision Trees in scikit-learn - A Data Analyst
Scikit-Learn Design Principles. Elegant, Progressive, and Pragmatic | by Mark A. Brennan | Towards Data Science
Analyzing data at any scale with AWS Lambda - Speaker Deck
Using tree-based ensemble methods to predict Amazon employee access | by Samuel McCormick | Medium
Scikit Learn – Data Science
Predict with sklearn 20x faster. A library for machine learning… | by Evan Harris | Building Ibotta | Medium
Amazon SageMaker & ML(sklearn)
Python Machine Learning: Machine Learning and Deep Learning with Python, scikit-learn, and TensorFlow 2, 3rd Edition by Raschka, Sebastian, Mirjalili, Vahid - Amazon.ae
