Supervised Machine Learning Tutorial Logistic Regression Naive Bayes Classifier
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Course Description
Python for Machine Learning course,
in this course we will learn about using Python for machine learning applications. Covering essential libraries such as NumPy, Pandas, Matplotlib, and Scikit-learn, students will gain hands-on experience in data preprocessing, visualization, and building predictive models. Through practical exercises and projects, participants will develop proficiency in leveraging Python's ecosystem for various machine learning tasks, from data cleaning to model evaluation and deployment.
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