madhurimarawat / semester-notes

This repository contains a vast collection of academic notes, study materials, and resources from various semesters of Datascience course.

Semester-Notes

• This repository contains a vast collection of academic notes, study materials, and resources from various semesters of Datascience course.
  
  
• This repository serves as a valuable resource to access well-structured and reliable study materials.
  
  
• Study Materials are organized according to semesters and subjects.

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Table Of Contents 📔 🔖 📑

1 Semester

1. Engineering-Mathematics-I
2. Environmental-Science
3. Foundations-of-Electronics-Engineering
4. Fundamentals-of-Computational-Biology
5. Language-and-Writing-Skills
6. Learning-Programming-Concepts-With-C

• To See Lab Programs Visit: Learning-Programming-Concepts-With-C

7. Professional-Ethics-and-Life-Skills

2 Semester

1. Data-Structure-Using-C

• To See Lab Programs Visit: Data-Structure-Using-C

2. Digital-Logic-and-Design
3. Engineering-Mathematics-II
4. Entrepreneurship
5. Object-Oriented-Programming

• To See Lab Programs Visit: Object-oriented-programming-with-c-plus-plus

6. Python-For-Datascience

• To See Lab Programs Visit: Python-for-Datascience

3 Semester

1. Analysis & Design of Algorithm

• To See Lab Programs Visit: Analysis-and-Design-of-Algorithm-using-python

2. Computer Organization and Architecture
3. Database Management System
4. Discrete Structure
5. Independent Project

• To See Project Visit: Library Management System

6. Probability and Statistics

4 Semester

1. Artificial Intelligence-Principles and Applications
2. Computer Network
3. Data Visualization

• To See Lab Programs Visit: Data-Visualization-using-python

4. Operating System
5. R for Datascience

• To See Lab Programs Visit: R-for-Datascience

6. Theory of Computation

5 Semester

1. Computational Complexity
2. Cryptography and Network Security

• To See Lab Programs Visit: Cryptography-and-Network-Security

3. Intelligent Data Analysis

• To See Lab Programs Visit: Intelligent-Data-Analysis

4. Natural Language Processing

• To See Lab Programs Visit: Natural-Language-Processing-in-Python

5. Pattern Recognition and Machine Learning

• To See Lab Programs Visit: Pattern-Recognition-and-Machine-Learning

6. Vocational Training

• To See Lab Project Visit: Vocational Training Project

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