Data Science with Julia (eBook, ePUB)
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Dive into the world of high-performance data science with "Data Science with Julia: Build Models and Analyze Data" by Alex Coder. This comprehensive guide unlocks the power of Julia, a lightning-fast programming language designed for numerical computing, bridging the gaps in speed and flexibility found in Python and R. Perfect for beginners and experienced coders alike, the book takes you from Julia fundamentals to advanced machine learning through hands-on projects and real-world examples.Start with setting up your environment and mastering data handling essentials like loading, cleaning, and...
Dive into the world of high-performance data science with "Data Science with Julia: Build Models and Analyze Data" by Alex Coder. This comprehensive guide unlocks the power of Julia, a lightning-fast programming language designed for numerical computing, bridging the gaps in speed and flexibility found in Python and R. Perfect for beginners and experienced coders alike, the book takes you from Julia fundamentals to advanced machine learning through hands-on projects and real-world examples.
Start with setting up your environment and mastering data handling essentials like loading, cleaning, and exploring datasets using packages such as DataFrames.jl and CSV.jl. Progress to creating compelling visualizations with Plots.jl, statistical inference, and hypothesis testing. Delve into predictive modeling with linear and advanced regression techniques, then tackle dimensionality reduction for high-dimensional data and unsupervised learning via clustering algorithms.
Culminate in building end-to-end machine learning pipelines, from preprocessing to deployment, and discover resources for scaling your skills. With step-by-step code, exercises, and applications like analyzing sales data or predicting customer behavior, this book equips you for success in finance, healthcare, and beyond. Embrace Julia's efficiency and transform data into actionable insightsyour journey to data mastery starts here!
Start with setting up your environment and mastering data handling essentials like loading, cleaning, and exploring datasets using packages such as DataFrames.jl and CSV.jl. Progress to creating compelling visualizations with Plots.jl, statistical inference, and hypothesis testing. Delve into predictive modeling with linear and advanced regression techniques, then tackle dimensionality reduction for high-dimensional data and unsupervised learning via clustering algorithms.
Culminate in building end-to-end machine learning pipelines, from preprocessing to deployment, and discover resources for scaling your skills. With step-by-step code, exercises, and applications like analyzing sales data or predicting customer behavior, this book equips you for success in finance, healthcare, and beyond. Embrace Julia's efficiency and transform data into actionable insightsyour journey to data mastery starts here!
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