Machine Learning - Intermediate
Issued by
Deloitte
After earning this badge, earners will be able to understand the overall machine learning life-cycle and be able to implement data science pipelines, build traditional machine learning models, and validate results. Earners will have successfully acquired fundamental data science skills and will be able to operate independently on tasks with minor technical oversight on majority of traditional data science work.
Skills
- Confusion Matrix
- Data Encoding
- Data Pipelines
- Data Visualization
- Decision Tree Learning
- Deep Learning
- Ensemble Methods
- Error Analysis (Numerical Analysis)
- Feature Engineering
- Hyperparameter Optimization
- Logistic Regression
- Machine Learning
- Machine Learning Algorithms
- Machine Learning Model Monitoring And Evaluation
- Natural Language Processing
- Perceptron
- Random Forest Algorithm
- Receiver Operating Characteristic
- SCIKIT-LEARN (PYTHON PACKAGE)
- Supervised Learning
- Support Vector Machine
- Time Series Modeling
- Unstructured Data
Earning Criteria
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Deloitte AI Academy™: Machine Learning (ML) Intermediate Pathway
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Acquire skill proficiency through 500 hours of relevant project time
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2 Eminence Activities
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Machine Learning - Foundation Badge
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Disclaimer: This badge has been issued based on established objective criteria. Deloitte does not make any claims that our badges guarantee quality or expertise, and they should not be relied upon as such. The badge is not an indicator of any endorsement by Deloitte. Use of Deloitte badges by individuals who are not currently employed by or a partner/principal of Deloitte does not imply association between Deloitte and the individual beyond the previously administered training & assessment.