The Certification: Applied Machine Learning with Python and Scikit-Learn provides a practical pathway to mastering essential machine learning techniques using industry-standard tools. Learners will gain skills such as increased productivity, improved decision-making, and enhanced adaptability to the evolving field of data science. Enroll today to unlock new career opportunities and stay ahead in the world of applied machine learning.

This certification covers the following topics:

• Linear Regression and Model Building
• Exploratory Data Analysis and Feature Selection
• Decision Trees
• Random Forests
• Gradient Boosting Machines (GBMs) with XGBoost
• Clustering Techniques
• Dimensionality Reduction with Principal Component Analysis (PCA)
• Practical Model Deployment with Flask and GitHub
• Feature Engineering in Machine Learning
• K-fold Cross-Validation and Model Evaluation Metrics
• Hyperparameter Tuning
• Handling Missing Data and Imbalanced Datasets
• Preventing Overfitting
• Ensemble Learning
• Model Interpretability and Ethical Considerations