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Data Science from Scratch With Python: A crash course for beginners to learn Data Analysis, Programming and Machine Learning with Python by Geddis, Steve is a book available to read on EtoBox.
What is Data Science from Scratch With Python: A crash course for beginners to learn Data Analysis, Programming and Machine Learning with Python about?
Introduction 6 Chapter 1: Basics of Data Science 8 Why Data Science is Crucial 8 Definition of Data Science 9 Requisite Skillset for a Data Scientist 11 Mathematics Ability 11 Strong Business Acumen 11 Technology and Hacking 12 Data Scientist – Curiosity and Training 12 Machine Learning and Deep Learning in Depth 13 Machine Learning Techniques 14 Machine Learning Strategies 15 Chapter 2: Data Science Demystified 22 The Cycle of Analysis 22 The Five Major Activities of Data Analysis 23 Communicate the Results 23 Define the Expectations 24 Information collection 24 Comparison of Expectations 24 Volume, Velocity, and Variety 25 Machine Learning 26 Supervised and unsupervised learning 26 Predictions and Forecasts 27 Chapter 3: Data Visualization and Processing 28 Understanding Data Processing 28 Data Processing in Python 31 An Exploratory Analysis in Python with Pandas 32 Series and DataFrames 32 Distribution Analysis 34 Techniques for Preprocessing Data in Python 35 Practical Applications of Machine Learning 37 Why Machine Learning is Important 37 Image Processing 38 Text Analysis 39 Data Mining 39 Recommender Systems 40 Advantages of Using Recommendation Systems 40 Types of Recommend
- Author
- Geddis, Steve
- Language
- EN
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