Machine Learning with Python
%30
8,10 USD
11,57 USD
Stock code
9786257407007
Number of pages
464
Isbn.
9786257407007
The aspect
16.5x24cm
Publication Year
2021
Number of Prints
2nd Edition
Author
Assoc. Dr. Engin Sorhun
Warranty Period
24 Month
Price
11,57 USD
In this study, there are 31 machine learning algorithms, 22 machine learning methods, 33 Python libraries, 14 original data sets and sample applications in social sciences, especially in the fields of economy, finance and business.
In addition to this, applications such as interfacing with Python, "cracking" data from web pages to create a unique data set, translating data sets into Turkish, data visualization… were also discussed.
Real estate market, used car market, optimization of production-sales-customer processes, algorithmic transactions and buy-sell signals for foreign exchange and stock trading, macroeconomics, election forecasting and coalition analysis, market basket analysis…
Real estate market, used car market, optimization of production-sales-customer processes, algorithmic transactions and buy-sell signals for foreign exchange and stock trading, macroeconomics, election forecasting and coalition analysis, market basket analysis…
Anyone, students, researchers, private sector representatives, who want to do data-based work; but especially those who have studied social sciences such as economics, finance, and business, and data enthusiasts, will be able to get results easily in a short time with Python, the world's easiest to learn coding language, and completely free and easy-to-apply packages prepared by thousands of volunteers around the world.
INGREDIENTS
BASIC CONCEPTS OF MACHINE LEARNING
STAGES OF MACHINE LEARNING
DATA SCIENCE AND PYTHON
SUPERVISED LEARNING
· REGRESSION
· CLASSIFICATION
UNSUPERVISED LEARNING
· CLUSTERING
· SIZE REDUCTION
· SOCIETY RULES
CREATING INTERFACE
DATA SCRAPING FROM WEBSITES
3D DATA VISUALIZATION
TRANSLATION OF DATASETS TO TURKISH
Umarım bunda da aynısı olmaz.