Model Building and Evaluation: Learners gain hands-on experience in building machine learning models using popular frameworks such as TensorFlow, scikit-learn, or PyTorch. They explore various algorithms like linear regression, decision trees, random forests, support vector machines (SVM), neural networks, and more
Data science and AI certifications are designed to equip individuals with the skills and knowledge required to leverage data and artificial intelligence effectively. Data hot dataset science is a multidisciplinary field that involves the use of various techniques, algorithms, and tools to extract meaningful insights from data. It encompasses data cleaning, exploration, analysis, visualization, and predictive modeling, among other essential aspects. AI, on the other hand, focuses on creating intelligent systems that can learn, reason, and make decisions similar to human intelligence.