Welcome to our Machine Learning and Python course! Explore the dynamic world of ML using Python, a powerful language for data analysis and modeling. Gain essential skills to create intelligent systems and solve real-world problems.
Machine learning is a subfield of artificial intelligence (AI) that focuses on developing algorithms and models that enable computers to learn from data and make predictions or decisions without being explicitly programmed. It involves training a machine learning model using a dataset and leveraging statistical techniques to make accurate predictions or uncover patterns in new, unseen data. Machine learning finds applications in various domains, including image recognition, natural language processing, recommendation systems, fraud detection, and autonomous vehicles. Python is a popular, high-level programming language known for its simplicity and readability. It was created in the late 1980s and has gained significant popularity due to its versatility and extensive range of libraries and frameworks. Python supports multiple programming paradigms, including procedural, object-oriented, and functional programming. It has a large and active community of developers contributing to its ecosystem, making it a go-to language for various applications, including web development, data analysis, scientific computing, and artificial intelligence. 1. Introduction IELTK Certified Machine Learning & Python Certificate. 4 Month(16 weeks; with 2 training sessions & 1 lab)Content
2. classifier Bayes
3. linear regressive
4. Regularization
5. Cross checking
6. Rational regression
7. proximate neighbor
8. neural systems
9. neural systems
10. a decision tree
11. a decision tree
12. Clustering
13. Normalization
14. Update PAC Learning
15. Beginning Python Introduction Basics of Python
16. Program Flow in Python
17. Features & Modules
18. Exceptions Managing File Management
19. Python classes for generators and iterators
20. Data Models and Collections
21. Python GUI creation using Tkinter
22. SQL Database Access using Python Network Programming
23. Time and date
24. Several more in-depth subjects
25. Threads using Regular Expressions Accessing API is essential for DJANGO.Certification
Duration
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