Master essential machine learning algorithms and elevate your data science skills
What you will learn
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Gain expertise in core ML concepts: supervised/unsupervised learning, classification, regression, clustering, and feature engineering.
Implement various ML algorithms: linear/logistic regression, decision trees, random forests, SVM, KNN, and neural networks.
Evaluate models using accuracy, precision, recall, F1-score; fine-tune hyperparameters for improved performance.
Apply theoretical knowledge to real-world problems through hands-on projects, covering data preprocessing, model training, and deployment.
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