Applied Machine Learning Algorithms with Python – Take the next step in your AI career & income path

Software and Data Science colleagues, the Corporate Finance Institute (CFI) has partnered with Machine Learning Edge to bring to you a unique course on the applied machine learning algorithms for finance professionals. This course will utilize the knowledge you learned from the Python Fundamentals course to build machine learning investor classifiers. We are going to explore real case studies from investment banking and capital markets applications that are being used today to advise Fortune 500 companies all over the world. By the end of the course you will be able to: Identify overfit regression models, Compare different regularized regression algorithms and decision tree ensemble algorithms Explain the confusion matrix and its relation to the ROC curve, Construct training data sets, testing data sets, and model pipelines, perform advanced data cleaning, exploration, and visualization, Engineer features based on conditional relationships between existing features, and Build and finalize a machine learning classifier. Core skills you will acquire are: 1) Data Cleaning and Exploration, 2) Data Visualization with Matplotlib and Seaborn,Seaborn Countplot Function, 4) Replace Function and Sparse Classes, 5) Null Values, 6) Drop Null Values, 7) Boxplots with Seaborn, 8) Saving Cleaned Data Table, 9) Regression Algorithms, 10) Liquidity Regressor, and 12) Classification Algorithms Investor Classifiers I & II. Much career success, Lawrence Wilson – Online Learning Central

Register today at: https://tinyurl.com/r2jegmz