Python Machine Learning Case Studies Five Case Studies for the Data Scientist 1st Edition by Danish Haroon ISBN 1484228227 9781484228227

Python Machine Learning Case Studies Five Case Studies for the Data Scientist 1st Edition by Danish Haroon – Ebook PDF Instant Download/Delivery: 1484228227 ,9781484228227
Full download Python Machine Learning Case Studies Five Case Studies for the Data Scientist 1st Edition after payment

Product details:
ISBN 10: 1484228227
ISBN 13: 9781484228227
Author: Danish Haroon
Embrace machine learning approaches and Python to enable automatic rendering of rich insights and solve business problems. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources.
Python Machine Learning Case Studies takes you through the steps to improve business processes and determine the pivotal points that frame strategies. You’ll see machine learning techniques that you can use to support your products and services. Moreover you’ll learn the pros and cons of each of the machine learning concepts to help you decide which one best suits your needs.
By taking a step-by-step approach to coding in Python you’ll be able to understand the rationale behind model selection and decisions within the machine learning process. The bookis equipped with practical examples along with code snippets to ensure that you understand the data science approach to solving real-world problems.
What You Will Learn

• Gain insights into machine learning concepts 
  
• Work on real-world applications of machine learning
• Learn concepts of model selection and optimization
• Get a hands-on overview of Python from a machine learning point of view
  

Who This Book Is For
Data scientists, data analysts, artificial intelligence engineers, big data enthusiasts, computer scientists, computer sciences students, and capital market analysts.

Python Machine Learning Case Studies Five Case Studies for the Data Scientist 1st Edition Table of contents:

Chapter 1: Introduction to Python and Machine Learning

• Overview of Python for Data Science
• Essential Python Libraries for Machine Learning
  • NumPy, pandas, matplotlib, scikit-learn
• Understanding the Basics of Machine Learning
  • Supervised vs. Unsupervised Learning
  • Overfitting and Underfitting

Chapter 2: Case Study 1 – Predicting Customer Churn Using Classification

• Problem Definition and Data Overview
• Data Preprocessing and Feature Engineering
• Building a Logistic Regression Model
• Evaluating Model Performance
• Key Takeaways and Learnings

Chapter 3: Case Study 2 – Time Series Forecasting for Stock Prices

• Problem Definition and Data Overview
• Understanding Time Series Data
• Preprocessing Time Series Data
• Building an ARIMA Model for Forecasting
• Model Evaluation and Interpretation
• Key Takeaways and Learnings

Chapter 4: Case Study 3 – Image Classification with Convolutional Neural Networks (CNN)

• Problem Definition and Data Overview
• Introduction to CNN and Deep Learning
• Preparing Image Data for Machine Learning
• Building and Training a CNN Model with Keras
• Evaluating Model Accuracy
• Key Takeaways and Learnings

Chapter 5: Case Study 4 – Natural Language Processing (NLP) for Sentiment Analysis

• Problem Definition and Data Overview
• Text Data Preprocessing and Vectorization
• Building a Sentiment Analysis Model Using Naive Bayes
• Evaluating Model Performance
• Key Takeaways and Learnings

Chapter 6: Case Study 5 – Recommender Systems for E-commerce

• Problem Definition and Data Overview
• Types of Recommender Systems: Collaborative Filtering vs. Content-Based
• Building a Collaborative Filtering Model Using Matrix Factorization
• Evaluating and Tuning the Model
• Key Takeaways and Learnings

---

Chapter 7: Advanced Machine Learning Topics and Techniques

• Ensemble Methods: Random Forest and Boosting
• Hyperparameter Tuning and Cross-Validation
• Model Deployment and Productionizing Machine Learning Models
• Introduction to Deep Learning and Neural Networks

Chapter 8: Conclusion and Next Steps

• Recap of Key Learnings
• Further Resources for Continued Learning
• Career Pathways for Data Scientists

People also search for Python Machine Learning Case Studies Five Case Studies for the Data Scientist 1st Edition:

projects and case studies on machine learning with python

python case study

machine learning case study

machine learning case study interview

Tags:

Danish Haroon,Python Machine,Five Case Studies,Data Scientist