Python for Data Science and Machine Learning: Explore Data Science Tools with Python to Build Predictive Models

Build Smarter Solutions-Master Data Science and Machine Learning with PythonReady to turn data into actionable insights-and predictions?Python for Data Science and Machine Learning is your hands-on guide to using Python's most powerful libraries to analyze data, visualize trends, and create machine learning models that solve real-world problems.Whether you're a beginner or advancing your data science career, this book breaks down complex concepts into clear, practical steps-giving you the confidence to work with real datasets and build intelligent systems.What You'll Learn: Core data science workflow: collection, cleaning, analysis, and visualizationPython tools: NumPy, pandas, Matplotlib, Seaborn, Scikit-learn, and moreBuilding predictive models: regression, classification, clusteringMachine learning algorithms made simple-no heavy math requiredModel evaluation: accuracy, confusion matrix, cross-validationReal-world projects: sentiment analysis, customer segmentation, fraud detectionBest practices for working with large datasetsTips for optimizing performance and avoiding overfittingFoundations of deep learning and AI with PythonWith practical examples and real datasets, this book gives you the tools and skills to go from data science theory to building models that matter.If you want to become a data-driven problem solver, this book is your launchpad.

Author:

Rafael Sanders

Publisher:

Independently Published

Publication Date:

Jun 07, 2025

Number of pages:

00192 pages

Binding:

Paperback or Softback

ISBN-10:

NA

ISBN-13:

9798286867738