In this video, I will be giving a high-level overview on how to build a machine learning model. I use this cartoon infographic that I've drawn to illustrate the machine learning model building process. I cover the entire process starting from obtaining the initial dataset, data pre-processing, exploratory data analysis, data splitting, model building and prediction performance evaluation (for both classification and regression problems).
This video is based on the blog post that I've written in Towards Data Science on the same topic "How to Build a Machine Learning Model"