Python project pro VOL-2
50 industry-ready projects for aspiring software professionals
Build complete, real-world projects including COVID-19 Data Analysis, Sales Forecasting, Movie Recommendation Systems, Customer Churn Prediction, Stock Price Prediction using LSTM, Twitter Sentiment Analysis, Credit Card Fraud Detection, and Interactive Dashboards with Streamlit.
Learn industry-standard tools such as Pandas, NumPy, Scikit-learn, TensorFlow, Keras, Plotly, and Streamlit
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$9.99
$19.99
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About
About the Book
Python Project Pro: 50 Industry-Ready Projects for Aspiring Software Professionals (Vol. 2) continues the practical journey into professional Python development by focusing on one of today's most in-demand domains—Data Science, Machine Learning, Artificial Intelligence, and Interactive Analytics.
This volume is designed to help readers transform raw data into meaningful insights using modern Python libraries and industry-standard machine learning techniques. Instead of learning algorithms in isolation, readers will build complete end-to-end projects that reflect real business, healthcare, finance, and social media applications.
Beginning with Exploratory Data Analysis (EDA), the book gradually progresses through predictive analytics, recommendation systems, customer behavior analysis, deep learning, natural language processing, fraud detection, and interactive dashboard development.
Each project follows a professional workflow—from data collection and preprocessing to model building, evaluation, visualization, deployment, and interpretation—providing readers with practical experience that mirrors real-world data science projects.
Throughout the book, readers will work with widely used Python libraries including NumPy, Pandas, Matplotlib, Seaborn, Scikit-learn, TensorFlow, Keras, Streamlit, Plotly, and more.
Inside this volume you'll learn
• Exploratory Data Analysis (EDA)
• Data Cleaning & Feature Engineering
• Data Visualization
• Statistical Analysis
• Time Series Forecasting
• Machine Learning Fundamentals
• Logistic Regression
• Recommendation Systems
• Deep Learning using LSTM
• Natural Language Processing (NLP)
• Sentiment Analysis
• Fraud Detection Systems
• Customer Analytics
• Business Intelligence Dashboards
• Interactive Web Dashboards using Streamlit
• Model Evaluation & Performance Metrics
• Industry-standard Data Science Workflow
• Portfolio-ready AI & Machine Learning Projects
Featured Projects
- Exploratory Data Analysis on COVID-19 Dataset
- Sales Forecasting using Time Series Analysis
- Movie Recommendation System using Collaborative Filtering
- Customer Churn Prediction using Logistic Regression
- Stock Price Prediction using LSTM Neural Networks
- Twitter Sentiment Analysis using NLP
- Credit Card Fraud Detection System
- Interactive Business Dashboard using Streamlit
Who should read this book?
- BCA, MCA, B.Tech and M.Tech students
- Computer Science and IT professionals
- Aspiring Data Scientists
- Machine Learning Engineers
- AI enthusiasts
- Python programmers looking to enter Data Science
- Analytics professionals
- Business Intelligence Developers
- Researchers and academicians
- Anyone interested in practical AI and Data Science projects
Whether you are preparing for placements, internships, higher education, Kaggle competitions, freelance opportunities, or a career in Artificial Intelligence, this volume equips you with practical, portfolio-worthy projects that demonstrate real-world problem-solvinng skills
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Author
About the Author
Anshuman Kumar Mishra, M.Tech (Computer Science) Assistant Professor, Doranda College, Ranchi University
Prolific Author of 50+ Books on AI, Machine Learning & Computer Science | 20+ Years Experience
Anshuman Kumar Mishra is a dedicated educator, researcher, and highly prolific author with over 20 years of experience in Computer Science and Information Technology. Holding an M.Tech in Computer Science from BIT Mesra, he brings a rare combination of academic depth and practical teaching expertise.
Currently serving as Assistant Professor at Doranda College under Ranchi University, he has mentored thousands of students, helping them build strong foundations in programming, data science, and artificial intelligence. His student-centric teaching style emphasizes conceptual clarity, hands-on practice, and real-world application.
Anshuman is a prolific author with more than 50 books published across a wide spectrum of computer science and emerging technology domains. From foundational programming languages to advanced topics in Artificial Intelligence, Machine Learning, Reinforcement Learning, Decision Theory, and Computer Vision — his books are widely appreciated by students, educators, and professionals for their clear explanations, strong theoretical foundation, and practical approach.
His extensive body of work reflects his deep commitment to making complex subjects accessible and meaningful for learners at all levels. He is particularly recognized for creating well-structured learning paths that help readers progress from beginner to advanced levels with confidence.
Driven by the mission to democratize quality technical education, Anshuman continues to write and update books that bridge the gap between academic theory and industry practice.
When not teaching or writing, he actively follows and explores new developments in AI, Quantum Machine Learning, and Ethical Intelligence systems.
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