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Machine Learning
Python
Unsupervised Learning
Data Science
Supervised Learning
This course offers a comprehensive foundation in Python programming, fundamental statistics, and data science, equipping learners with the skills to implement and evaluate machine learning algorithms such as linear regression, logistic regression, decision trees, and clustering using frameworks like TensorFlow and scikit-learn, while exploring essential topics like model training, optimization, feature engineering, and hands-on project work to solve real-world problems.
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