Building Data Science Solutions with Anaconda
This book helps you get to grips with the rapidly growing data science domain and takes you on a journey from understanding which algorithm family to use to how to prevent bias. Through hands-on examples and clear analogies, you’ll develop expertise in data science and open source tools no matter what your level of experience is.
Offered by
Difficulty Level
Intermediate
Completion Time
11h
Language
English
About Book
Who Is This Book For?
If you’re a data analyst or data science professional looking to make the most of Anaconda’s capabilities and deepen your understanding of data science workflows, then this book is for you. You don’t need any prior experience with Anaconda, but a working knowledge of Python and data science basics is a must.
Building Data Science Solutions with Anaconda
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 11h total length
Understanding the AI/ML Landscape
Analyzing Open Source Software
Using Anaconda Distribution to Manage Packages
Working with Jupyter Notebooks and NumPy
Cleaning and Visualizing Data
Overcoming Bias in AI/ML
Choosing the Best AI Algorithm
Dealing with Common Data Problems
Building a Regression Model with scikit-learn
Explainable AI - Using LIME and SHAP
Tuning Hyperparameters and Versioning Your Model
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