Research College

Research & Publication - Dr M C Saxena College of Engg and Technology

A fully air-conditioned computer center with broadband internet connectivity of 600 client computers, separated by a fully air-conditioned digital central library having adequate number of reference books, journals,etc. to cope-up with latest information which adds the technological advancement to McSgoc.

Machine Learning Algorithm with Python" by Er. Ankit Patel and Dr. Sunil Kumar Rawat

This book serves as a practical introduction to machine learning, focu...

Data Structure using C" by Er. Ankit Patel and Dr. Sunil Kumar Rawat

Data Structure using C” by Er. Ankit Pa...

Fraud Detection System for Banking Transactions Using Machine Learning | Mr. Ankit Patel

Banking fraud is a major concern in the digital era, especially with t...

Machine Learning Algorithm with Python" by Er. Ankit Patel and Dr. Sunil Kumar Rawat

This book serves as a practical introduction to machine learning, focusing on the implementation of algorithms using Python. It covers essential topics such as model training, classification, regression, performance evaluation, and ensemble learning techniques. Each chapter includes detailed code examples, exercises, and explanations to bridge the gap between theoretical concepts and real-world applications.

Key Features :

Comprehensive Coverage: Topics include model training, classification, regression, performance evaluation, and ensemble learning techniques.

Hands-On Approach: Each chapter provides detailed code examples and exercises to reinforce learning.

Practical Applications: The book emphasizes real-world applications, helping readers understand how to apply machine learning algorithms effectively.

Accessible Language: Written in a clear and concise manner, making complex concepts understandable for beginners.

Purposes :

The primary aim of this book is to equip readers with the knowledge and skills necessary to implement machine learning algorithms using Python. It is designed to help learners understand the underlying principles of machine learning and how to apply them in practical scenarios.

Why It Matters

Industry Relevance: Machine learning is increasingly integral to various industries, and proficiency in Python-based ML tools is highly sought after.

Skill Development: The book aids in developing critical skills required for data analysis, predictive modeling, and algorithm development.

Foundation for Advanced Learning: It provides a solid foundation for those looking to delve deeper into specialized areas of machine learning and artificial intelligence.

Data Structure using C" by Er. Ankit Patel and Dr. Sunil Kumar Rawat

Data Structure using C” by Er. Ankit Patel is a foundational textbook designed to teach the core principles of data structures through the C programming language. Structured for students in engineering, computer science, and IT, the book walks readers through both theoretical concepts and practical implementations of essential data structures. It provides a bridge between conceptual understanding and real-world coding.

Key Features :

Comprehensive Coverage
Includes arrays, linked lists, stacks, queues, trees, graphs, sorting and searching algorithms.

C Language Implementation
All data structures are explained and implemented using pure C code, helping students solidify their understanding of both C programming and data structures.

Diagrams and Flowcharts
Visual aids to simplify understanding of complex concepts.

Chapter-End Exercises
Includes multiple-choice questions, theoretical questions, and coding problems to reinforce learning.

Real-World Applications
Explains where and how each data structure is used in real systems (e.g., memory management, compilers, OS).

Beginner-Friendly
Starts from basic principles, making it ideal for those new to data structures or programming.

Purposes :

To provide a clear and accessible foundation in data structures for students and early professionals.

To help readers learn through coding by using C, one of the most fundamental programming languages.

To prepare students for interviews, competitive exams, and practical software development challenges.

Why It Matters

Core Computer Science Skill: Understanding data structures is essential for efficient coding, problem-solving, and system design.

Industry Relevance: Almost all technical interviews test knowledge of data structures and algorithms.

Foundation for Advanced Topics: Concepts like databases, machine learning, and systems programming build upon data structure knowledge.

Efficient Programming: Choosing the right data structure improves speed, reduces memory usage, and makes code more maintainable.

Fraud Detection System for Banking Transactions Using Machine Learning | Mr. Ankit Patel

Banking fraud is a major concern in the digital era, especially with the growing volume of online and card-based transactions. Traditional rule-based systems often fail to keep up with the evolving tactics of fraudsters. This project proposes a machine learning-based fraud detection system that learns from historical transaction data to predict and identify fraudulent activity with high accuracy. By analyzing patterns in transaction behavior, the system can flag anomalies and help banks and financial institutions prevent fraud in real time.

Key Features :

Real-Time Detection
Monitors transactions instantly and flags suspicious ones.

Machine Learning Algorithms
Uses classification and anomaly detection models like Random Forest, XGBoost, and Isolation Forest.

Behavioral Pattern Recognition
Detects deviations from usual user behavior (amount, time, location).

Handling Imbalanced Data
Employs techniques like SMOTE and undersampling to improve fraud detection on rare cases.

Visual Reports and Alerts
Generates graphs, confusion matrices, and real-time alerts for detected fraud.

Secure & Scalable
Can be integrated with existing banking infrastructure and scaled with more data.

Purposes :

To reduce the impact of fraud on both customers and banks.

To replace outdated, rule-based detection systems with smart, data-driven models.

To provide early warning and alert systems for potentially fraudulent activity.

To build a cost-effective, automated solution that can evolve with new fraud patterns.

Why It Matters

Global Financial Impact: Fraud results in billions of dollars in losses annually across the banking sector.

Customer Trust: Clients expect secure and protected digital transactions.

Evolving Fraud Techniques: Machine learning can adapt to and learn from new fraud tactics.

Real-Time Response: Early detection can stop fraud before the damage is done.

Regulatory Compliance: Helps meet industry standards for fraud prevention and data protection.

Our students are often known by the following LEADING NAMES

Research And Publication

Research & Publication - Dr M C Saxena College of Engg and Technology

Machine Learning Algorithm with Python" by Er. Ankit Patel and Dr. Sunil Kumar Rawat

Data Structure using C" by Er. Ankit Patel and Dr. Sunil Kumar Rawat

Fraud Detection System for Banking Transactions Using Machine Learning | Mr. Ankit Patel

Our students are often known by the following LEADING NAMES