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Showing posts from June, 2026

Data Splitting: Training Set and Test Set in Machine Learning

  Data Splitting: Training Set and Test Set in Machine Learning Data Splitting is one of the most important steps in Machine Learning and Artificial Intelligence. It involves dividing a dataset into separate parts for training and evaluating a machine learning model. The primary goal of data splitting is to ensure that the model performs well on new and unseen data. Training Set A Training Set is used to train the machine learning model. The model learns patterns, trends, and relationships from this data. For example, in a dataset of 1000 records, if 80% is used for training, the model learns from 800 records. Test Set A Test Set is used after training to evaluate the model's performance. The model has not seen this data before, making it an effective way to measure real-world accuracy. Common Data Splitting Ratios 70% Training and 30% Testing 80% Training and 20% Testing 90% Training and 10% Testing Among these, the 80:20 ratio is commonly used. Benefits of Data...

Data Cleaning and Preprocessing in AI | Dirty Data, Missing Values, Duplicates & Outliers

  Explain Data Cleaning and Preprocessing. Discuss the importance of data cleaning, dirty data, and the steps involved in data cleaning. Answer: Introduction Data Cleaning and Preprocessing is the process of identifying, correcting, and preparing raw data before it is used for analysis or training Artificial Intelligence (AI) and Machine Learning (ML) models. Since real-world data often contains errors, missing values, duplicates, and inconsistencies, cleaning the data improves its quality and reliability. Importance of Data Cleaning Data cleaning is important because: Improves data quality. Increases the accuracy of AI models. Reduces errors and inconsistencies. Saves time during analysis. Helps in making better decisions. Ensures reliable and meaningful results. Without proper data cleaning, AI systems may produce incorrect predictions and unreliable outputs. for PDF : CLICK HERE FOR YOU TUBE VIDEO: CLICK HERE © 2026 Degree IT Academy. Unauthorized copying o...

Table Creation in MS Word | How to Create and Format Tables in Microsoft Word |Table Creation in MS Word – Insert, Edit, and Format Tables Easily

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  Table Creation in MS Word | How to Create and Format Tables in Microsoft Word     Tables are used to organize information in tabular form.     They are used to crate documents as forms, financial reports, etc.     Tables can be inserted anywhere in word document. Word tables consist of horizontal rows and vertical columns.     Typing will be done in areas called cells.     Cells can contain text, numbers or graphics.     The text in cells is edited with Word’s formatting toolbar and ruler.     In Microsoft Office Word, you can insert a table by choosing from a selection of preformatted tables — complete with sample data — or by selecting the number of rows and columns that you want.     You can insert a table into a document, or you can insert one table into another table to create a more complex table. FOR PDF: CLICK HERE FOR VIDEO: CLICK HERE ...

Explain Data Collection Methods for AI | AI Data Pipeline Notes & Examples

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Explain Data Collection Methods for AI.     Data collection is the first and most important step in the Artificial Intelligence (AI) Data Pipeline.     It involves gathering relevant data from various sources to train, test, and improve AI models.     The quality of collected data directly affects the performance and accuracy of AI systems. 1. Manual Input     The first method is Manual Input. In this method, data is collected directly from humans through surveys, questionnaires, registration forms, and feedback forms. 2. Sensors and IoT Devices     The second method is Sensors and IoT Devices. 3. System Logs and Transactions     System logs and transactions are automatically generated when users interact with digital systems. 4. Web Scraping     Web Scraping is the automated process of extracting data from websites. 5. APIs (Application Programming Interfaces) ...

Formatting Paragraphs in MS Word – Complete Guide to Alignment, Indentation, and Spacing

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  Explain about Formatting paragraphs .     Paragraph formatting refers to the alignment, spacing, and indentation of text in a document. In Microsoft Word, a paragraph is any amount of text or other items followed by a paragraph mark.     To apply paragraph formatting, place the insertion point anywhere within the paragraph. Word automatically applies the selected paragraph formatting to the entire paragraph. Paragraph formatting cannot be applied to only a selected part of a paragraph. FOR PDF: click here FOR VIDEO: CLICK HERE FAQ – Formatting Paragraphs in MS Word 1. What is paragraph formatting in MS Word? Paragraph formatting is the process of changing the appearance of a paragraph by adjusting alignment, indentation, spacing, and other layout settings. 2. Why is paragraph formatting important? Paragraph formatting improves document readability, organization, and professional appearance. 3. What are the types of paragraph alignment in MS Word?...