توضیحات
This book provides a hands-on approach to building machine learning models with Python. It covers essential topics such as data preprocessing, supervised and unsupervised learning, model evaluation, and optimization. Using Scikit-Learn along with libraries like NumPy, pandas, and Matplotlib, readers learn to implement real-world machine learning solutions. With examples and exercises, it is ideal for beginners and intermediate developers seeking practical experience in applying machine learning techniques to solve real problems.
نقد و بررسیها
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