Recently, I was contacted by a professor who wanted to utilize my PyCaret book in his research. Considering that I support scientific advancement in every way possible, I was happy to collaborate with that person. Furthermore, I have decided to freely provide my book to other researchers interested in utilizing it. Here are the topics covered in the book:
• Regression
• Classification
• Clustering
• Anomaly Detection
• Natural Language Processing
• Time Series Forecasting
• Developing Machine Learning Apps with Streamlit
If you want to acquire the book for research purposes, I encourage you to send some information about your project, so we can discuss this further. You can check the link below for more information, and leave a comment below if you have any questions!
𝗦𝗶𝗺𝗽𝗹𝗶𝗳𝘆𝗶𝗻𝗴 𝗠𝗮𝗰𝗵𝗶𝗻𝗲 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗣𝘆𝗰𝗮𝗿𝗲𝘁: https://leanpub.com/pycaretbook/
There are several machine learning books that can provide you with the theoretical foundations, practical techniques and recent development of machine learning.
While selecting, look out for
- The book that cover a wide range of topics, from the basics to the advanced, and from the classical to the modern. This way, you can have a comprehensive overview of the field and explore different aspects of machine learning.
- The book should also provide clear explanations, proofs, and relevant examples. To help you understand the concepts, the methods, and the results of machine learning, and apply them to your own research problems.
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