Design Principles Series – Coupling
Design complexity can be identified using Coupling & Cohesion. In this article, we will discuss about Coupling.
Design Principles Series – Inheritance in the Right Way
Explore how inheritance may go wrong and how to carefully address the associated issues using design principles especially with Liskov Substitution Principle (LSP).
Python Basic Quiz #9 – For Loop
Python basic Quiz. 5 Questions. Difficulty Level: Easy to Moderate. Concept: For Loop, Continue statement, Break statement
5 Most important Data Pre-Processing Techniques – Feature Scaling – Part IV
what, why and how to do Feature Scaling, Normalization Vs Standardization, common mistakes a beginner may do on Feature Scaling
5 Most important Data Pre-Processing Techniques – Encode Categorical Values – Part III
5 Part series of most important Data Pre-Processing Techniques of Machine Learning: Encode Categorical Values, One-Hot Encoding, Ordinal Encoding, Categorical Data types explained with examples
5 Most important Data Pre-Processing Techniques – Impute missing data – Part II
Major imputation techniques in Machine learning, US census data, Listwise Deletion, Impute NaN with mean, Trimmed Mean, median, mode, Drop columns if >60% of data is missing
5 Most important Data Pre-Processing Techniques for Machine Learning – Part I
This is a 5 Part series of most important Data Pre-Processing Techniques of Machine Learning. Part 1 - Verify data types of the variables/features.
Python Basic Quiz #8 – Conditionals & Boolean Values
Python basic Quiz. 5 Questions. Difficulty Level: Easy to Moderate. Concept: Conditional Statements, Operators, Boolean Values
Python Basic Quiz #7 – Operators
Python basic Quiz. 5 Questions. Difficulty Level: Easy to Moderate. Concept: Operators
How to Impute missing values using SimpleImputer and ColumnTransformer?
How to impute missing values using SimpleImputer and ColumnTransformer, Disadvantages of SimpleImputer, Advantage of ColumnTransformer