Who should attend this Python with Machine Learning Training Course?
The Python with Machine Learning Course is for those looking to enhance their understanding of Machine Learning using Python, particularly for developing complex algorithms. The Python with Machine Learning Course can benefit the following individuals:
- 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 Course.
Machine Learning with Python Training Course Overview
Machine Learning with Python influences artificial intelligence to enable computers to learn and develop autonomously without direct programming. Flexible and widely adopted, Python offers a rich array of libraries and tools specifically tailored for machine learning tasks. This training empowers organisations to train their teams to effectively leverage data, build predictive models, and make informed, data-driven decisions.
This Python with Machine Learning Course allows individuals to address challenges and innovate using data-driven solutions, significantly contributing to their organisations. Pursuing this training equips individuals with a highly sought-after skill set across various sectors, enhancing job opportunities in roles such as Data Scientists, Software Developers, and Business Analysts.
In this 2-day Python with Machine Learning Course, by The Knowledge Academy, delegates will learn about practical applications and use cases of Machine Learning. They will explore evaluation metrics and algorithms like K-means clustering, decision trees, and neural networks. The training covers various machine learning models such as regression, classification, unsupervised, and deep learning. Led by an experienced trainer specialising in Machine Learning, delegates will gain comprehensive knowledge and hands-on skills in this field.
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 completing this training, delegates can construct and assess Machine Learning models using Python. They will be proficient in selecting suitable algorithms for various problems and adept at utilising Jupyter Notebook for model development and presentation. Furthermore, they will be equipped to tackle real-world challenges using effective Machine Learning techniques.