This book ushers readers into the world of data, emphasizing its importance in modern industries and how its management leads to insightful decision-making. Using Python 3, the book introduces foundational data tasks and progresses to advanced model training concepts. Detailed, step-by-step Python examples help readers master training models, starting with the kNN algorithm and moving to other classifiers with minimal code adjustments. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced for hands-on chart and graph rendering.
The course begins with working with data, detecting outliers and anomalies, and cleaning datasets. It then introduces statistics and progresses to using Matplotlib and Seaborn for data visualization. Each chapter builds on the previous one, ensuring a comprehensive understanding of data management and analysis.
These concepts are crucial for making data-driven decisions. This book transitions readers from basic data handling to advanced model training, blending theoretical knowledge with practical skills. Companion files with source code and data sets enhance the learning experience, making this book an invaluable resource for mastering data science with Python.

Osoby które kupowały "Data Literacy With Python. A Comprehensive Guide to Understanding and Analyzing Data with Python", wybierały także:

• Biologika Sukcesji Pokoleniowej. Sezon 3. Konflikty na terytorium 127,27 zÅ‚, (14,00 zÅ‚ -89%)
• Windows Media Center. Domowe centrum rozrywki 66,67 zÅ‚, (8,00 zÅ‚ -88%)
• PodrÄ™cznik startupu. Budowa wielkiej firmy krok po kroku 93,33 zÅ‚, (14,00 zÅ‚ -85%)
• Ruby on Rails. Ćwiczenia 18,75 zÅ‚, (3,00 zÅ‚ -84%)
• Scrum. O zwinnym zarz 77,78 zÅ‚, (14,00 zÅ‚ -82%)

Spis treści

Data Literacy With Python. A Comprehensive Guide to Understanding and Analyzing Data with Python eBook -- spis treści

• 1. Working with Data
• 2. Outlier and Anomaly Detection
• 3. Cleaning Datasets
• 4. Introduction to Statistics
• 5. Matplotlib and Seaborn