Advanced Predictive Techniques with Scikit-Learn and TensorFlow

Colleagues, the Advanced Predictive Techniques With Scikit-Learn And TensorFlow program will train you in advanced predictive techniques with Scikit-Learn and TensorFlow. Better the performance of predictive models, build more complex models, and improve the quality of your predictive models.Ensemble methods offer a powerful way to improve prediction accuracy by combining in a clever way predictions from many individual predictors. In this course, you will learn how to use ensemble methods to improve accuracy in classification and regression problems. Learn to use ensemble algorithms to combine many individual predictors to produce better predictions, apply advanced techniques such as dimensionality reduction to combine features and build better models, evaluate models and choose the optimal hyper-parameters using cross-validation the foundations for working and building models using Neural Networks, and learn different techniques to solve problems that arise when doing Predictive Analytics in the real world. Skill-based training modules include: 1) Ensemble Methods for Regression and Classification, 2) Cross-Validation and Parameter Tuning, 3) Working with Features, 4) Introduction to Artificial Neural Networks and TensorFlow, and Predictive Analytics with TensorFlow and Deep Neural Network.

Enroll today (individuals & teams welcome): https://tinyurl.com/bd6r42dc 

Much career success, Lawrence E. Wilson - Artificial Intelligence Academy