Machine Learning with Python: A Step-By-Step Guide to Learn and Master Python Machine Learning
Machine Learning with Python: A Step-By-Step Guide to Learn and Master Python Machine Learning by Hein Smith
English | November 24, 2018 | ASIN: B07KVLCH6N | 72 pages | AZW3 | 1.17 MB
English | November 24, 2018 | ASIN: B07KVLCH6N | 72 pages | AZW3 | 1.17 MB
Are you stuck in getting started with machine learning with python? A Step-By-Step Guide to Learn and Master Python Machine Learning walks you through steps for getting started with Machine Learning with Python. Python is a popular and open-source programming language. In addition, it is one of the most applied languages in artificial intelligence and other scientific fields. On the other hand, machine learning is a branch of AI that applied algorithms to learn from data and create predictions. Machine learning is important in predicting the world around us.
All the way from self-driving cars to predictions in the stock market, there is no place where machine learning cannot be utilized. Today, it is a top skill in high demand in the job market. For that reason, why not grab a Step-By-Step Guide to Learn and Master Python Machine Learning?
You'll discover the steps required to develop a successful machine-learning application using Python and Scikit-learn library. As a discipline, ML tries to design and understand computer programs for purpose of prediction. With a Step-By-Step Guide to Learn and Master Python Machine Learning, you'll learn:
- The important concepts and real-world application of machine learning.
- Pros and cons of most popular machine learning algorithms
- The basics of Python
- Learn about data preprocessing, analysis, and visualization
- Preprocessing techniques to use in data
- Regression methods
- Clustering
- Recommendation engines
- And many more