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…
Randomization Notes of Class 11 DS covers use of survey, sampling bias, confidence level, data collection using sensors with easy explaination. Use of Survey Sampling Bias How Sure Are You? (Confidence Interval) Factors Affecting the Width of a Confidence Interval Data Collection Using Sensors Online Data Charm of XML
Forecasting Data Notes for Class 11 Data Science are based on the latest CBSE syllabus. Learn forecasting, observational studies, and their advantages and disadvantages with easy explanations, examples, and exam-focused notes. Forecasting Observational Study Why Use an Observational Study Instead of a Trial Assessment? Advantages of Observational Study Disadvantages of Observational Study
Assessing Data Notes for Class 11 Data Science (CBSE) are prepared as per the latest CBSE curriculum. These notes cover stories and facts, trial assessments, and perception of time assessment with easy explanations and activities. Story vs. Facts Story Fact A story is an account of events or experiences presented by a person. A fact…
Class 11 Data Science Ethics Notes (CBSE) cover the data ecosystem, data governance framework, and the importance of ethics in data science with pointwise explanations, examples, and exam-oriented content. How the Data Ecosystem is Evolving Why Do Data Scientists Need to Understand Ethics? Data Governance Framework Benefits of a Data Governance Framework
Data Merging Notes for Class 10 Data Science covering Data Merging, Types of Joins, Z-Score, Percentiles, Quartiles, and Deciles with clear explanations and solved examples. This Data Merging Notes is designed according to the latest CBSE Class 10 Data Science syllabus. From the board exam perspective, this chapter carries 11 marks, making it one of…
CBSE aligned Ethics in data science notes is made for class 10 DS which explains Data Governance Framework, Ethical Guidelines, and Discarding Data. Note about Data Governance Framework Ethical Guidelines Around Data Analysis Protect Customer Privacy Data Should Never Interfere with Human Will Avoid Unfair Bias Discarding the Data Shredding the Documents Burning the Documents