Machine Learning
Courses
- Machine Learning with Python: k-Means Clustering
- Machine Learning with Python: Decision Trees
- Machine Learning and AI Foundations: Prediction, Causation, and Statistical Inference
- NumPy Essential Training: 2 MatPlotlib and Linear Algebra Capabilities
- Applied Machine Learning: Ensemble Learning (2022)
- Security Risks in AI and Machine Learning: Categorizing Attacks and Failure Modes (2022)
- Machine Learning and AI Foundations: Producing Explainable AI (XAI) and Interpretable Machine Learning Solutions
- Machine Learning with Data Reduction in Excel, R, and Power BI
- Deep Learning: Model Optimization and Tuning (2022)
- Machine Learning with Logistic Regression in Excel, R, and Power BI
- Machine Learning with Python: Foundations
- Power BI: Integrating AI and Machine Learning
- ML.NET: Getting Started
- AWS Machine Learning: Building an Expense Tracker Using Amazon Textract
- Supervised Learning Essential Training
- Machine Learning with ML.NET
- Machine Learning with Scikit-Learn (2020)
- Mistakes to Avoid in Machine Learning
- Data Science Foundations: Data Assessment for Predictive Modeling
- Advanced NLP with Python for Machine Learning (2020)
- Applied Machine Learning: Feature Engineering (2020)
- Building Recommender Systems with Machine Learning and AI
- Leveraging Cloud-Based Machine Learning on Google Cloud Platform: Real World Applications
- Google Cloud Video Intelligence API by Example