-65%Data Science · Python · R
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Data SciencePython
Mastering Data Science with Python
by
SuperUzer· eBook · PDF
Key Features of This Book Master Data Science Using Python in 6 Hours Lifetime Access Real-life Examples and Case Studies Fully Coded Examples with Output Step-by-Step Explanations Comprehensive Cheat Sheets Diagrams and Visual Aids Essential Mathematical Foundations Extensive Resources and References
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What's inside
Topics Covered:
- Introduction to Data Science
- Setting Up Your Environment
- Python Basics for Data Science
- Data Collection
- Data Cleaning and Preparation
- Exploratory Data Analysis (EDA)
- Introduction to Data Visualization
- Matplotlib
- Seaborn
- Plotly and Interactive Visualizations
- Introduction to Machine Learning
- Data Preparation for Machine Learning
- Supervised Learning
- Unsupervised Learning
- Model Evaluation and Tuning
- Introduction to Deep Learning
- Neural Networks
- Convolutional Neural Networks (CNNs)
- Recurrent Neural Networks (RNNs)
- Transfer Learning
- Generative Adversarial Networks (GANs)
- Reinforcement Learning
- Introduction to NLP
- Text Preprocessing
- Text Representation
- Text Classification
- Named Entity Recognition (NER)
- Machine Translation
- Introduction to Deployment
- Model Serialization and Saving
- Model Serving with Flask
- Model Serving with FastAPI
- Monitoring and Maintenance
- Case Study: Deploying a Real-World NLP Model
- Predictive Maintenance in Manufacturing
- Customer Segmentation in Retail
- Fraud Detection in Finance
- Image Classification in Healthcare
- Sentiment Analysis in Social Media
- Python for Data Science Cheat Sheet
- Scikit-Learn Cheat Sheet
- TensorFlow and Keras Cheat Sheet
- Matplotlib and Seaborn Cheat Sheet
- Deployment Cheat Sheet
- Mathematical Foundations
- Python Reference
- Data Science Resources
- Glossary of Terms
Sample pages
A peek at what you get. Tap to enlarge.
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