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Item #:
211362015
Python for Data Science and Machine Learning: Essential Tools for Working with Data
Item #:
211362015
CHF 17
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Python for Data Science and Machine Learning is the ultimate guide to mastering the essential tools needed for a career in data science and machine learning.
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What Stands Out
Comprehensive Coverage
This course offers an in-depth exploration of Python's libraries used in data science and machine learning, equipping learners with essential tools to analyze and visualize data effectively.
Practical Applications
Focuses on hands-on projects, allowing participants to apply concepts in real-world scenarios, thereby reinforcing learning and enhancing problem-solving skills relevant to data-driven industries.
Expert Guidance
Led by industry professionals, the course provides insights and best practices essential for success in data science, ensuring learners gain valuable knowledge directly applicable to their careers.
Product Details
| Publisher | Independently published |
| Publication date | March 26, 2023 |
| Language | English |
| Print length | 189 pages |
| ISBN-13 | 979-8388654380 |
| Item Weight | 9.3 ounces (263.66 grams) |
| Dimensions | 6 x 0.43 x 9 inches (15.2 x 1.1 x 22.9 cm) |
Who Should Buy?
-
Aspiring Data Scientists
Ideal for those seeking foundational knowledge in data science and machine learning using Python effectively.
-
Beginner Programmers
Great for individuals with basic programming skills wanting to expand into data analytics and machine learning.
-
Professionals Upskilling
Perfect for professionals looking to enhance their skills in data science and enter the machine learning field.
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Advanced Users
Not suitable for experienced data scientists as it may lack depth in advanced algorithms and techniques.
Product Description
Python for Data Science and Machine Learning: Essential Tools for Working with Data
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CHF 17
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Features & Benefits
- Comprehensive introduction to data science and machine learning tools.
- Includes data cleaning, visualization, analysis, and machine learning algorithms.
- Hands-on examples for practical learning.
- Suitable for both beginners and experienced programmers.
- Perfect resource to kickstart or expand your career in data science.
- Start your journey toward becoming a data science expert today!
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