Machine Learning for Accounting with Python
This course, Machine Learning for Accounting with Python, introduces machine learning algorithms (models) and their applications in accounting problems. It covers classification, regression, clustering, text analysis, time series analysis. It also discusses model evaluation and model optimization. This course provides an entry point for students to be able to apply proper machine learning models on business related datasets with Python to solve various problems.Accounting Data Analytics with Python is a prerequisite for this course. This course is running on the same platform (Jupyter Notebook) as that of the prerequisite course. While Accounting Data Analytics with Python covers data understanding and data preparation in the data analytics process, this course covers the next two steps in the process, modeling and model evaluation. Upon completion of the two courses, students should be able to complete an entire data analytics process with Python.
The concept of various machine learning algorithms.
How to apply machine learning models on datasets with Python in Jupyter Notebook.
How to evaluate machine learning models.
How to optimize machine learning models.
Syllabus
Syllabus - What you will learn from this course
Week 1
INTRODUCTION TO THE COURSE
MODULE 1: INTRODUCTION TO MACHINE LEARNING
Week 2
MODULE 2: FUNDAMENTAL ALGORITHMS I
Week 3
MODULE 3: Fundamental Algorithms II
Week 4
MODULE 4: MODEL EVALUATION
Week 5
MODULE 5: MODEL OPTIMIZATION
Week 6
MODULE 6: INTRODUCTION TO TEXT ANALYSIS
Week 7
MODULE 7: INTRODUCTOIN TO CLUSTERING
Week 8
MODULE 8: INTRODUCTION TO TIME SERIES DATA
FAQ
When will I have access to the lectures and assignments?
Access to lectures and assignments depends on your type of enrollment. If you take a course in audit mode, you will be able to see most course materials for free. To access graded assignments and to earn a Certificate, you will need to purchase the Certificate experience, during or after your audit. If you don't see the audit option:
What will I get if I subscribe to this Specialization?
When you enroll in the course, you get access to all of the courses in the Specialization, and you earn a certificate when you complete the work. Your electronic Certificate will be added to your Accomplishments page - from there, you can print your Certificate or add it to your LinkedIn profile. If you only want to read and view the course content, you can audit the course for free.
Is financial aid available?
Yes. In select learning programs, you can apply for financial aid or a scholarship if you can’t afford the enrollment fee. If fin aid or scholarship is available for your learning program selection, you’ll find a link to apply on the description page.
Reviews
This is a great introductory course on machine learning with really practical examples. It does not go too deep.
