Data Science and Analysis Guide for Beginners: 2 in 1 Guide. A Beginner's Journey into the Essentials of Data Science and Analysis
This comprehensive guide is meticulously crafted to provide newcomers with a clear and accessible entry point into the e
140 75 760KB
English Pages 221 Year 2024
Table of contents :
Chapter 1: Introduction to Data Science
Chapter 2: Getting Started with Data
Chapter 3: Essential Tools for Data Science
Chapter 4: Basic Statistics for Data Science
Chapter 5: Machine Learning Fundamentals
Chapter 6: Data Wrangling and Feature Engineering
Chapter 7: Building Your First Machine Learning Model
Chapter 8: Introduction to Deep Learning
Chapter 9: Data Science in Practice
Chapter 1: Introduction to Data Science
Chapter 2: Getting Started with Data
Chapter 3: Essential Tools for Data Science
Chapter 4: Basic Statistics for Data Science
Chapter 5: Machine Learning Fundamentals
Chapter 6: Data Wrangling and Feature Engineering
Chapter 7: Building Your First Machine Learning Model
Chapter 8: Introduction to Deep Learning
Chapter 9: Data Science in Practice
Chapter 1: Introduction to Data Science
Chapter 2: Getting Started with Data
Chapter 3: Essential Tools for Data Science
Chapter 4: Basic Statistics for Data Science
Chapter 5: Machine Learning Fundamentals
Chapter 6: Data Wrangling and Feature Engineering
Chapter 7: Building Your First Machine Learning Model
Chapter 8: Introduction to Deep Learning
Chapter 9: Data Science in Practice
Chapter 1: Introduction to Data Science
Chapter 2: Getting Started with Data
Chapter 3: Essential Tools for Data Science
Chapter 4: Basic Statistics for Data Science
Chapter 5: Machine Learning Fundamentals
Chapter 6: Data Wrangling and Feature Engineering
Chapter 7: Building Your First Machine Learning Model
Chapter 8: Introduction to Deep Learning
Chapter 9: Data Science in Practice
- Author / Uploaded
- Sam Campbell
- Similar Topics
- Computers
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