Certification in Data Intelligence Batch 2
Artificial Intelligence (AI) and Machine Learning (ML) are revolutionizing industries …
What you'll learn
1. Understand fundamental AI and ML frameworks, methodologies, and problem-solving strategies.
2. Develop expertise in supervised and unsupervised learning, feature engineering, and model selection for practical applications.
3. Gain proficiency in advanced machine learning techniques, including logistic regression, SVM, dimensionality reduction, neural networks, and decision trees.
4. Apply reinforcement learning, PCA, and graphical models to real-world AI problems, improvingpredictive accuracy and decision-making
5. Learn optimization strategies and parameter estimation for high-performance models.
6. Explore unsupervised learning, clustering techniques, and ensemble methods.
Data Science
Data Science is transforming industries by unlocking insights from vast …
What you'll learn
In Data Science, you will learn how to collect, clean, and analyze data, build predictive models using machine learning, visualize insights, and make data-driven decisions. You'll also gain skills in Python, statistics, databases, and tools like Pandas, NumPy, and SQL to solve real-world problems across various industries.
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