Think Different

  I have curated the learning pathway for you to learn Machine Learning and Data Science. You can follow the Google Classroom paths below: Essential Math and Stat Data Science   Computational Mathematics SQL R & Python Big Data [optional] Distributed Algorithm & Optimizations [optional] Data Collection, Preparation & Hypothesis Tests Stochastic Process Cognitive Analysis Perspective Analysis and Prediction Predictive Analysis Descriptive Data Analysis Categorical Data Analysis & Generalized Research Methodology Applied Data Analytics Machine Learning Methods Linear Regression Model Image Processing & Analysis Deep Learning Capstone Projects Also, you can find my Github repo for many examples for beginner to expert levels here. Photo by Vanessa Loring

  Market basket analysis (MBA) is a data mining technique that analyzes customer purchase data to identify patterns and relationships between products. It is used by retailers to improve their product assortment, pricing, and promotions. MBA can be used to identify: Products that are often bought together : This information can be used to place products that are frequently purchased together in close proximity to each other in the store. For example, milk and bread are often purchased together, so they could be placed on the same shelf. Products that are complementary : This information can be used to cross-sell products to customers. For example, if a customer buys a printer, they might also be interested in buying ink cartridges. Products that are rarely purchased : This information can be used to identify products that are not selling well and may need to be discontinued or promoted. Customers who are likely to buy a particular product : This information can be used to ...