Who should attend this Python with Machine Learning Training Course?
The Python with Machine Learning Training Course is designed for those who want to get better at understanding the intricacies surrounding Machine Learning through Python for complex algorithm development. The Python with Machine Learning Training Course can benefit individuals such as:
- Data Scientists
- Software Developers
- Data Analysts
- Business Analysts
- Statisticians
- Ethical Hackers
- Cyber Security Professionals
Prerequisites of the Python with Machine Learning Training Course
There are no formal prerequisites for this Python with Machine Learning Training Course.
Machine Learning with Python Training Course Overview
Machine Learning with Python is an artificial intelligence application that allows computer systems to learn and develop without being explicitly designed. Python, as a flexible and widely used programming language, has an extensive set of libraries and tools created expressly for machine learning applications. This training enables organisations to equip their employees to successfully exploit data, construct predictive models, and drive data-driven decision-making. Additionally, this training will assist individuals in tackling challenges and innovating with data-driven solutions, thus making a big contribution to their organisations. Pursuing this training provides individuals with a useful skill set that is in high demand across sectors and improves their job chances, allowing them to work as data scientists, machine learning engineers, and AI specialists.
In this 2-day Machine Learning with Python training, delegates will gain in-depth knowledge about the use cases and applications of Machine Learning. During this training, delegates will learn about different evaluation metrics and algorithms, such as K-means clustering, decision trees, and neural networks. They will gain an understanding of various machine learning models, including regression, classification, unsupervised learning, and deep learning. This course will be led by our highly skilled and knowledgeable trainer, who has years of experience in teaching Machine Learning Training courses.
Course Objectives:
- To learn Machine Learning with Python and its applications in various domains
- To understand the different types of machine learning algorithms
- To implement machine learning models using Python libraries and tools
- To acquire knowledge of model evaluation techniques, including cross-validation, confusion matrix, and ROC curve analysis
- To master the deep learning and its algorithms, such as CNNs, LSTMs, and GANs
- To explore the field of statistical analysis and hypothesis testing for data validation and decision-making
After attending this training, delegates will be able to build and evaluate machine learning models using Python. They will be able to apply appropriate algorithms for different types of problems, and use Jupyter Notebook for model development and presentation. They will also be able to solve real-world problems using machine learning techniques.