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- Ultimate Step by Step Guide to Machine Learni...
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제품번호 #:
42079191
Ultimate Step by Step Guide to Machine Learning Using Python: Predictive modelling concepts explained in simple terms for beginners
85% of respondents would recommend this to a friend
제품번호 #:
42079191
KRW 41293
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What Stands Out
Beginner-Friendly
Designed specifically for newcomers, this guide simplifies complex predictive modeling concepts, making machine learning approachable and easy to understand.
Comprehensive Coverage
The step-by-step format ensures thorough exploration of machine learning essentials, offering practical examples and exercises that reinforce learning and retention.
Python Built-In
Utilizing Python, a popular programming language for data science, the guide equips readers with versatile coding skills applicable in real-world machine learning projects.
제품 세부 정보
- Introduces Python basics including data structures like Pandas, and foundational libraries like Numpy, Seaborn, and Scikit-Learn
- Shows how to build predictive machine learning models step by step using techniques such as regression analysis, decision tree analysis, and training/testing data models
- Enables the reader to code confidently in Python, build new machine learning models from scratch, and clean and prepare data for analytics
- Differentiates from other books with step by step code examples and explanations, visual explanation of complex concepts, real-world applicability of machine learning models, and bonus free code samples
- Offers a step by step action plan for mastering data science and machine learning, and starting a lucrative career
| Publisher | Independently published |
| Publication date | February 17, 2020 |
| Language | English |
| Print length | 68 pages |
| ISBN-13 | 979-8611399538 |
| Item Weight | 3.67 ounces (104.04 grams) |
| Dimensions | 6 x 0.16 x 9 inches (15.2 x 0.4 x 22.9 cm) |
| Book 1 of 4 | Ultimate Step by Step Guide to Machine Learning |
Who Should Buy?
-
Beginners in Tech
Ideal for individuals starting their journey in technology and seeking a structured approach to machine learning using Python.
-
Data Science Students
Great for students studying data science who need clear explanations of predictive modeling and machine learning concepts.
-
Self-learners
Perfect for individuals who prefer to learn at their own pace and require easily digestible materials on complex topics.
-
Advanced Practitioners
Not suitable for experienced professionals already familiar with machine learning techniques and programming in Python.
제품 설명
Ultimate Step by Step Guide to Machine Learning Using Python: Predictive modelling concepts explained in simple terms for beginners
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특징 및 장점
- Introduction to Python basics such as Data Structures and Foundational Libraries
- Step-by-step guide to building predictive machine learning models using Regression analysis, Decision tree analysis and more
- Ability to code in Python with confidence
- Learn how to clean and prepare data for analytics and speak confidently about statistical analysis techniques
- Real-world applicability of the machine learning models introduced
- Bonus free code samples to try without any prior experience in Python
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