✔︎Python Programming for Data Science ▪︎ Data Structures ▪︎ Functions, Conditions, Loops, Comprehensions ▪︎ Data Analysis with Python✔︎CRM Analytics ▪︎ RFM Analytics ▪︎ CLTV (Customer Lifetime Value) ▪︎ CLTV Prediction✔︎Measuring Problems ▪︎ AB Testing ▪︎ Product Rating & Product ▪︎ Sorting Scoring✔︎Recommendation Systems ▪︎ Association Rule Learning ▪︎ Content-Based Recommendation ▪︎ Item-Based Collaborative Filtering ▪︎ Model-Based Matrix Factorization✔︎Feature Engineering ▪︎ Outliers, Missing Values ▪︎ Encoders (Binary, Label, Onehot, Rare) ▪︎ Standardization, Transformation ▪︎ Feature Extraction & Regex & Time Series Features✔︎Machine Learning ▪︎ Lineer Regression ▪︎ Logistic Regression ▪︎ CART ( Classification & Regression Tree ) ▪︎ Advanced Tree Methods ▪︎ Unsupervised Learning ▪︎ Machine Learning Pipeline✔︎Time Series▪︎ Understanding the Nature of the Time Series▪︎ Statistical & Econometric Time Series▪︎ Time Series Modeling with Machine Learning✔︎Time Series▪︎ Introduction to SQL▪︎ Queries in the Relational Database

Superonline Modem Project