▶What You Will Learn
- Pre-process data to make it ready to use for machine learning
- Create data visualizations with Matplotlib
- Use scikit-learn to perform dimension reduction using principal component analysis (PCA)
- Solve classification and regression problems
- Get predictions using the XGBoost library
- Process images and create machine learning models to decode them
- Process human language for prediction and classification
- Use TensorBoard to monitor training metrics in real time
- Find the best hyperparameters for your model with AutoML
▶Key Features
- Explore the depths of data science, from data collection through to visualization
- Learn pandas, scikit-learn, and Matplotlib in detail
- Study various data science algorithms using real-world datasets
▶Who This Book Is For
Data Science with Python is designed for data analysts, data scientists, database engineers, and business analysts who want to move towards using Python and machine learning techniques to analyze data and predict outcomes. Basic knowledge of Python and data analytics will prove beneficial to understand the various concepts explained through this book.
▶Approach
Data Science with Python takes a practical approach to equip beginners and experienced data scientists with the most essential tools required to master data science and machine learning techniques. It contains multiple activities that use reallife business scenarios for you to practice and apply your new skills in a highly relevant context.
작가 소개
▶About the Author
- Rohan Chopra
Rohan Chopra graduated from Vellore Institute of Technology with a bachelor’s degree in computer science. Rohan has an experience of more than 2 years in designing, implementing, and optimizing end-to-end deep neural network systems. His research is centered around the use of deep learning to solve computer vision-related problems and has hands-on experience working on self-driving cars. He is a data scientist at Absolutdata.
- Aaron England
Aaron England earned a Ph.D from the University of Utah in Exercise and Sports Science with a cognate in Biostatistics. Currently, he resides in Scottsdale, Arizona where he works as a data scientist at Natural Partners Fullscript
- Mohamed Noordeen Alaudeen
Mohamed Noordeen Alaudeen is a lead data scientist at Logitech.
Noordeen has 7+ years of experience in building and developing end-to-end BigData and Deep Neural Network Systems. It all started when he decided to engage the rest of his life for data science.
He is Seasonal data science and big data trainer with both Imarticus Learning and Great Learning, which are two of the renowned data science institutes in India. Apart from his teaching, he does contribute his work to open-source. He has over 90+ repositories on GitHub, which have open-sourced his technical work and data science material. He is an active influencer( with over 22,000+ connections) on Linkedin, helping the data science community.
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