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Hands-On Data Science and Python Machine Learning
85% of respondents would recommend this to a friend
MKD 3789
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Hands-On Data Science and Python Machine Learning gives you the tools that you need to understand and explore the core topics in the field, and the confidence and practice to build and analyze your own machine learning models.
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What Stands Out
Product Details
- Learn the tools and techniques of data analysis and machine learning in Python
- Explore topics such as Bayesian methods and K-means clustering in a beginner-friendly way
- Understand how to clean and prepare data for analysis
- Implement popular regression and clustering methods in Python
- Visualize data analysis results using Matplotlib library
- Learn to perform machine learning on large datasets using Apache Spark
| Publisher | Packt Publishing |
| Publication date | July 31, 2017 |
| Language | English |
| Print length | 420 pages |
| ISBN-10 | 9781787280748 |
| ISBN-13 | 978-1787280748 |
| Item Weight | 1.58 pounds (720 grams) |
| Dimensions | 7.5 x 0.95 x 9.25 inches (19.1 x 2.4 x 23.5 cm) |
Who Should Buy?
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Aspiring Data Scientists
Ideal for individuals looking to start a career in data science with practical Python applications.
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Developers Transitioning
Useful for software developers who want to shift their focus toward machine learning and data analysis.
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Students in Tech
Beneficial for students aiming to enhance their programming and analytical skills in a hands-on approach.
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Absolute Beginners
Not suitable for those with no prior knowledge of programming or data science concepts.
Product Description
Hands-On Data Science and Python Machine Learning
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Pros
- Practical approach to learning
- Well-structured content
- Great for beginners
- Comprehensive examples provided
Cons
- Some topics could use more depth.
Product Price History
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MKD 3789
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Features & Benefits
- Understand and explore core topics in data science
- Build and analyze your own machine learning models
- Learn how to use Apache Spark for processing big data efficiently
- Clean, prepare, and visualize your data for analysis
- Train efficient machine learning models using Python
- Implement popular clustering and regression methods
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