Professional Certificate in ML Algorithms for Businesses
-- viewing nowThe Professional Certificate in ML Algorithms for Businesses is a comprehensive course designed to equip learners with essential skills in machine learning algorithms, their applications, and their impact on businesses. This program covers key concepts, including regression, classification, clustering, and dimensionality reduction, with a strong emphasis on practical implementation.
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Course Details
• Introduction to Machine Learning Algorithms
• Supervised Learning Algorithms: Linear Regression, Logistic Regression, Decision Trees, Random Forests, Support Vector Machines (SVM)
• Unsupervised Learning Algorithms: K-Means Clustering, Hierarchical Clustering, Principal Component Analysis (PCA)
• Reinforcement Learning Algorithms: Q-Learning, Deep Q Networks (DQN), Policy Gradients
• Dimensionality Reduction Techniques: Feature Scaling, PCA, t-SNE
• Model Evaluation Metrics: Confusion Matrix, ROC Curve, Precision, Recall, F1 Score, AUC-ROC
• Hyperparameter Tuning: Grid Search, Random Search, Bayesian Optimization
• Scalable Machine Learning Algorithms: Gradient Boosted Trees (XGBoost, LightGBM, CatBoost), Deep Learning (TensorFlow, PyTorch)
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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