Certificate Documents

SpecializationIssued: August 1, 2026
Machine Learning Specialization
Issued by Stanford University & DeepLearning.AI
About this Certification
Built ML models with NumPy & scikit-learn, and trained supervised models for prediction & binary classification tasks (linear, logistic regression). Built and trained neural networks with TensorFlow to perform multi-class classification, and used decision trees & tree ensemble methods. Applied best practices for ML development and used unsupervised learning techniques including clustering & anomaly detection. Built recommender systems with a collaborative filtering approach & a content-based deep learning method, and built a deep reinforcement learning model.
Courses in this Specialization
- View Certificate1Supervised Machine Learning: Regression and Classification
- View Certificate2Advanced Learning Algorithms
- View Certificate3Unsupervised Learning, Recommenders, Reinforcement Learning
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Check CredentialSkills Gained
Deep LearningJupyterMachine LearningTensorflowNumPyReinforcement LearningTransfer LearningArtificial IntelligenceModel EvaluationDecision Tree LearningModel TrainingData EthicsPythonScikit-LearnNeural NetworksClusteringRecommender SystemsLogistic Regression