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About Data Science with Python: From Data Wrangling to Visualization
Data Science with From Data Wrangling to VisualizationUnlock the power of data science with Python in this comprehensive guide that takes you from beginner to advanced practitioner. Whether you’re an aspiring data scientist, a seasoned analyst looking to expand your skillset, or a software developer venturing into the world of data, this book is your roadmap to mastering the essential tools and techniques of modern data science.Key o Learn Python programming fundamentals for data science o Master data wrangling and preprocessing techniques o Perform exploratory data analysis (EDA) to uncover insights o Implement machine learning algorithms for predictive modeling o Create stunning data visualizations to communicate results effectively o Develop and deploy data-driven applicationsIn today’s data-driven world, the ability to extract meaningful insights from vast amounts of information is a critical skill. and “Data Science with Python and ” provides a structured approach to learning, covering the entire data science pipeline from data collection to visualization and deployment.Starting with the basics of Python programming, you’ll quickly progress to working with powerful libraries such as Pandas, NumPy, and Scikit-learn. Through hands-on examples and real-world projects, you’ll gain practical experience 1. Data Learn to clean, transform, and preprocess raw data into a format suitable for analysis. Master techniques for handling missing values, outliers, and inconsistent data.2. Exploratory Data Dive deep into your data using statistical methods and visualization techniques to uncover patterns, trends, and relationships.3. Machine Implement popular algorithms for classification, regression, and clustering. Understand the principles behind model selection, training, and evaluation.4. Data Create compelling charts, graphs, and interactive dashboards using Matplotlib, Seaborn, and Plotly to effectively communicate your findings.5. Big Data Introduction to handling large datasets using tools like PySpark and Dask.6. Deep Get started with neural networks using popular frameworks like TensorFlow and PyTorch.7. Natural Language Learn techniques for analyzing and processing text data.8. Time Series Explore methods for working with time-dependent data and forecasting.9. Develop data-driven web applications using Flask or Streamlit and deploy them to the cloud.Each chapter o Clear explanations of key concepts o Step-by-step tutorials with code examples o Practical exercises to reinforce learning o Tips and best practices from industry expertsBy the end of this book, you’ll have a solid foundation in data science and be able o Confidently work with various types of data using Python o Apply machine learning algorithms to solve real-world problems o Create insightful visualizations to communicate your findings effectively o Build and deploy data-driven applicationsWhether you’re looking to start a career in data science, enhance your current role, or simply expand your skill set, and “Data Science with Python and ” provides the knowledge and hands-on experience you need to succeed in this exciting field.Perfect o Aspiring data scientists and analysts o Software developers transitioning to data roles o Students in data science and analytics programs o Professionals seeking to upskill in Python and data science o Basic understanding of programming concepts o Familiarity with Python is helpful but not requir
Detailed Information
| Author: | Laszlo Bocso |
|---|---|
| Publication Year: | 2024 |
| Language: | English |
| File Size: | 6.4 |
| Format: | |
| Price: | FREE |
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