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Python 3
Live Output and Analysis Overview

Live Output and Analysis Overview

Lesson 2: Live Output and Analysis Overview

Lesson 2: Live Output and Analysis Overview

Live Link – Student Performance Analysis

After completing the student performance analysis, the results are generated directly inside Google Colab. The project produces clear outputs such as:

Performance trends based on attendance groups
Comparison between previous scores and exam scores
Performance change analysis (Dropped vs Stable/Improved)
Correlation heatmap showing relationships between numeric factors

These outputs confirm that data cleaning, grouping, and analysis steps were executed correctly and the dataset was successfully transformed into meaningful insights.

The analysis clearly showed that:

Students with higher attendance tend to score better.
Hours studied and attendance have strong positive correlation with exam scores.
Small reductions in attendance and study time can contribute to performance decline.

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Live Output and Analysis Overview

Contents

Lesson 2: Live Output and Analysis Overview

Student Performance Analysis Project for Beginners Using Data Science

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Computer Architecture

HTML 5 References Tutorial

Docker Tutorial

GIT (Using Github) Tutorial

Go Language Tutorial

GIT Guide

CSS Tutorial

Advanced Data Structures

Spring Framework Tutorial

Spring Boot Tutorial

Kotlin Tutorial

Apache Cordova Tutorial

Python Tutorial

SASS-SCSS Tutorial

MongoDB Tutorial

Numpy Tutorial

PL-SQL Tutorial

Python Built-in Functions Tutorial

Pandas Tutorial

Elasticsearch Tutorial

Matplotlib Tutorial

Web Scraping Tutorial

Networking with Python

Tkinter Tutorial

Java Programs Tutorial

Java Examples Tutorial

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JSP Tutorial

Java Type Conversion Tutorial

Java 8 Tutorial

Java 9 Tutorial

Java 10 Tutorial

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Java Util Library Tutorial

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Building a Age Calculator App Using ReactJS

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