Machine Learning for Finance – Python Fundamentals (90+ video lessons) With more than 90 video lessons, this course delves into Python’s foundational aspects vital for big data analysis. It serves as the fundamental software employed by data scientists engaged in machine learning. If you possess Excel proficiency, you already comprehend the basic principles of programming. Throughout this course, you’ll grasp the application of these principles to the Python language. The covered key concepts span setting up Anaconda and Jupyter Notebooks for Python, Python Native Data Types, input/output formatting, constructing custom functions, incorporating for loops and conditional logic, and utilizing the Numpy and Pandas Package.
Advanced Applied Machine Learning Algorithms (140+ video lessons) Starting from a novice level and progressing to an absolute expert, this course provides over 140 video lessons dedicated to Applied Machine Learning Algorithms. This ensures a solid expansion of your foundational knowledge with more intricate concepts. Developing the ability to adeptly navigate and harness the potency of Machine Learning is a fundamental skill in the dynamically changing realm of finance. The competencies of professionals in roles such as investment banking, asset management, and sales and trading are swiftly evolving. Attaining proficiency in machine learning is imperative for career advancement.
Machine Learning for Finance Course – Table of Contents
Below you will find a list of the modules and lessons included in this course.
Applied Machine Learning Algorithms Course – Table of Contents
Below you will find a list of the modules and lessons included in this course.
More courses from this author: Wallstreet Oasis
Course Features
- Lectures 1
- Quizzes 0
- Duration 10 weeks
- Skill level All levels
- Language English
- Students 0
- Assessments Yes
