Applied Machine Learning with Python by PwC Academy

This course emphasizes the use of Python to transform and shape data according to be utilized in machine learning models. Learners will learn to use supervised and unsupervised learning to predict customer attrition and segment them according to strategies.

The application scenarios will focus on practical, real-world uses, such as predicting customer churn, segmenting them, and designing reinforcement models for inventory management.

By the end of the course, you will be able to:

Python is a widely used programming language for small and large-scale projects. Python allows you to integrate web development with data analysis seamlessly. Python's wide adoption is due in part to its standard library, accessibility, and support for multiple paradigms, such as procedural, functional, and object-oriented programming styles. Python modules can interact with many databases, making it an excellent choice to learn data science and machine learning.

Machine learning is a subset of artificial intelligence (AI) that allows computers to enhance their performance on specific tasks by learning from data without the need for explicit programming. Machine learning systems analyze data patterns, generate predictions, and adjust to new information through the use of statistical models and algorithms.

The extent of Applied Machine Learning with Python in various sectors is broad and continuously growing, fueled by the rising dependence on data-driven decision-making. Organizations in various industries like finance, healthcare, retail, and technology use machine learning to boost predictive analytics, streamline operations, and enhance customer satisfaction. Machine learning models have the ability to enhance supply chains, identify fraud, tailor marketing techniques, and improve operations, resulting in notable savings and increased efficiency.

The following are the responsibilities of machine learning engineers:

These positions are indispensable for optimizing processes and utilizing data to inform decision-making. information.

This Applied Machine Learning with Python by PwC Academy is specifically designed for:

A fundamental understanding of machine learning concepts paired with Python coding skills, especially with AI and ML libraries will be beneficial for the learners.

The following specifications are the recommended system requirements for this Applied Machine Learning with Python by PwC Academy :

These system requirements provide a suitable environment for completing the tasks and exercises outlined in the Applied Machine Learning with Python by PwC Academy . Adjustments may be necessary based on specific preferences, additional software requirements, or constraints.

Detailed step-by-step installation guides are available on the LMS. If you have any doubts, the 24/7 support team will promptly assist you.