Machine learning with Python for finance professionals

Association of Chartered Certified Accountants via Edx

particular

details

                                    Medium of instructions
                                    English

                                    Mode of learning
                                    Self study

                                    Mode of Delivery
                                    Video and Text Based

                                    Learning efforts
                                    4-5 Hours Per Week
                                

Introduction to the Python programming language
Using the Jupyter Notebook environment to run Python code
Data types: strings, integers and floats; how information is created in Python
Variables and containers: how information is stored in Python
Mathematical operators and calculation in Python
Control flows, logic and writing functions: how to automate processes using code.

Introduction to xlwings: a Python library for interacting with live Excel spreadsheets
Using pandas and xlwings to automate the generation of Excel-based business intelligence reporting
Learn to automate Excel and give your Excel-based workflows access to the full power of the Python data scientific ecosystem of tools

Build a classifier algorithm for RFM modelling
Build a machine learning system for category classification using decision trees, random forests and natural language processing
Learn how to evaluate and tune machine learning algorithms, and how to prevent overfitting using cross-validation.

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