Chapter 1: Getting Started with Python 3 and Jupyter Notebook.- Chapter 2: Getting Started with NumPy.- Chapter 3 : Introduction to Data Visualization.- Chapter 4 : Introduction to Pandas .- Chapter 5: Introduction to Machine Learning with Scikit-Learn.- Chapter 6: Preparing Data for Machine Learning.- Chapter 7: Supervised Learning Methods - 1.- Chapter 8: Tuning Supervised Learners.- Chapter 9: Supervised Learning Methods - 2.- Chapter 10: Ensemble Learning Methods.- Chapter 11: Unsupervised Learning Methods.- Chapter 12: Neural Networks and Pytorch Basics.- Chapter 13: Feedforward Neural Networks.- Chapter 14: Convolutional Neural Network.- Chapter 15: Recurrent Neural Network.- Chapter 16: Bringing It All Together.
Ashwin Pajankar holds a Master of Technology from IIIT Hyderabad,
and has over 25 years of programming experience. He started his
journey in programming and electronics with BASIC programming
language and is now proficient in Assembly programming, C, C++,
Java, Shell Scripting, and Python. Other technical experience
includes single board computers such as Raspberry Pi and Banana
Pro, and Arduino. He is currently a freelance online
instructor teaching programming bootcamps to more than 60,000
students from tech companies and colleges. His Youtube channel has
an audience of 10000 subscribers and he has published more than 15
books on programming and electronics with many international
publications.
Aditya Joshi has worked in data science and machine learning
engineering roles since the completion of his MS (By Research) from
IIIT Hyderabad. He has conducted tutorials, workshops, invited
lectures, and full courses for students and professionals who want
to move tothe field of data science. His past academic research
publications include works on natural language processing,
specifically fine grain sentiment analysis and code mixed text. He
has been the organizing committee member and program committee
member of academic conferences on data science and natural language
processing.
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