SkillSoft Explore Course – Lambers, Inc.

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IT Skills Software Design and Development Artificial Intelligence Developing AI and Machine Learning Solutions with Python

Discover how to implement neural network with data sampling and workflow models using scikit-learn, and explore the pre and post model approaches of implementing machine learning workflows.

Asset ID	it_sdpyai_03_enus
Course Type	Video Course
Course Category	Software Design and Development

Objectives
AI and ML Solutions with Python: Deep Learning and Neural Network Implementation implement recurrent neural network work with data sampling implement dimensionality reduction with PCA demonstrate how to use the Gaussian processes for regression describe the core concepts and features of Linear model identify the pre-model and post-model workflow in analytics work with Classification and Bayesian Ridge regression using scikit-learn describe the core concept of Linear Regression model demonstrate how to implement Logistic regression using linear methods create and fit linear regression on a dataset and get the feature coefficient

Objectives

AI and ML Solutions with Python: Deep Learning and Neural Network Implementation

implement recurrent neural network
work with data sampling
implement dimensionality reduction with PCA
demonstrate how to use the Gaussian processes for regression
describe the core concepts and features of Linear model
identify the pre-model and post-model workflow in analytics
work with Classification and Bayesian Ridge regression using scikit-learn
describe the core concept of Linear Regression model
demonstrate how to implement Logistic regression using linear methods
create and fit linear regression on a dataset and get the feature coefficient