Description
This foundational text by Dr Reema Thareja provides an accessible introduction to data science and machine learning using Python. The book covers essential concepts including data preprocessing, exploratory data analysis, and statistical foundations necessary for modern data science practice.
Readers will explore supervised and unsupervised learning algorithms, classification and regression techniques, and practical implementation methods. The curriculum balances theoretical understanding with hands-on Python programming, using popular libraries such as pandas, scikit-learn, and NumPy.
Ideal for students and professionals transitioning into data science careers, this McGraw Hill publication emphasizes real-world problem-solving approaches and practical case studies. The content progresses logically from basic concepts to more advanced machine learning applications, making it suitable for beginners with programming knowledge.
Reviews
There are no reviews yet.