In this Regression Algorithms-1 Notes, You learn Linear Regression, Mean Absolute Error(MAE), and Root Mean Square Deviation (RMSD). This is designed for Class 12 DS students and based on latest CBSE curriculum. Introduction to Linear Regression Mean Absolute Error (MAE) Root Mean Square Deviation (RMSD)
Classification Algorithms-2 Notes of Class 12 DS covers K-Nearest Neighbors (K-NN), its characteristics, advantages, disadvantages, and Cross Validation. Introduction to K-Nearest Neighbors (K-NN) Characteristics of K-Nearest Neighbors (K-NN) Advantages of K-NN Disadvantages of K-NN Cross Validation
Classification Algorithm-1 Notes for Class 12 Data Science (CBSE) covering Decision Trees, their applications, and steps to create them with easy, pointwise explanations. Introduction to Decision Trees Applications of Decision Trees Decision Trees for Classification and Regression Creating a Decision Tree Steps to Create a Decision Tree
In these Exploratory Data Analysis Notes for Class 12 DS (CBSE), you’ll learn about EDA, Univariate Analysis, Bivariate Analysis, Multivariate Analysis, Graphical Analysis, and Clustering with simple, pointwise notes prepared as per the latest CBSE curriculum. Introduction to Exploratory Data Analysis (EDA) Univariate Analysis Bivariate Analysis Multivariate Analysis Data Cleaning Steps of Data Cleaning
Data Governance Notes for Class 12 DS (CBSE) covering Ethical Guidelines, Data Privacy, GDPR, HIPAA, CCPA, COPPA, and PDP with Easy-to-understand and pointwise insights. What is Data Governance? Ethical Guidelines Data Privacy Important Data Privacy Legislations GDPR (General Data Protection Regulation) HIPAA (Health Insurance Portability and Accountability Act) CCPA (California Consumer Privacy Act) COPPA (Children’s…