- Type Validation
- Level Foundational
Machine Learning in Python
Earners of the Machine Learning in Python credential are knowledgeable about the strengths and weaknesses of different machine learning algorithms; are able to train machine learning models to make predictions in Python, and can employ appropriate machine learning model based on data form and desired applications
- Type Validation
- Level Foundational
Skills
- Bayesian Statistics
- Call Modules in Python
- Decision Tree Learning
- Deep Learning
- Dimensionality Reduction
- Forecasting
- Linear Regression Models
- Machine Learning
- Machine Learning Algorithms
- Machine Learning Model Training
- Natural Language Processing
- Output Predictions
- Python (Programming Language)
- Python Syntax
- Support Vector Machine
Earning Criteria
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Earners have completed 8 coding projects covering the following: regression, cross-validation, model selection, PCA and dimensionality reduction, kNN, clustering, decision trees and CART modeling, NLP and Naïve Bayes, Market Basket, SVM, deep learning and neural nets.