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Think Stats Exploratory Data Analysis In Python Shopping Deals on 18.10.2019 at TOPPIDUS

  • Practical Statistics for Data Scientists: 50 Essential Concepts

    Statistical methods are a key part of of data science, yet very few data scientists have any formal statistics training. Courses and books on basic statistics rarely cover the topic from a data science perspective. This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, and gives you advice on what's important and what's not.Many data science resources incorporate statistical methods but lack a deeper statistical perspective. If you’re familiar with the R programming languag...

    • ASIN: 1491952962

  • Think STATS : Exploratory Data Analysis

    If you know how to program, you have the skills to turn data into knowledge, using tools of probability and statistics. This concise introduction shows you how to perform statistical analysis computationally, rather than mathematically,

    • UPC: 39965268

  • Python for Data Analysis : Data Wrangling with Pandas, Numpy, and Ipython


    • UPC: 55990701
    • Rating: 4.0

  • Python Data Science Handbook : Essential Tools for Working with Data

    For many researchers, Python is a first-class tool mainly because of its libraries for storing, manipulating, and gaining insight from data. Several resources exist for individual pieces of this data science stack, but only with

    • UPC: 49207582

  • Think Python : How to Think Like a Computer Scientist

    If you want to learn how to program, working with Python is an excellent way to start. This hands-on guide takes you through the language a step at a time, beginning with basic programming concepts

    • UPC: 47323190
    • Rating: 5.0

  • Pandas for Everyone : Python Data Analysis

    The Hands-On, Example-Rich Introduction to Pandas Data Analysis in Python Today, analysts must manage data characterized by extraordinary variety, velocity, and volume. Using the open source Pandas library, you can use Python to rapidly automate

    • UPC: 54980510

  • Applied Text Analysis with Python : Enabling Language-Aware Data Products with Machine Learning

    From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and

    • UPC: 56043827

  • Introduction to Machine Learning with Python : A Guide for Data Scientists

    Machine learning has become an integral part of many commercial applications and research projects, but this field is not exclusive to large companies with extensive research teams. If you use Python, even as a beginner,

    • UPC: 44452377

  • Data Science from Scratch : First Principles with Python

    Data science libraries, frameworks, modules, and toolkits are great for doing data science, but they're also a good way to dive into the discipline without actually understanding data science. In this book, you'll learn how

    • UPC: 43907523
    • Rating: 2.5

  • Numerical Python: Scientific Computing and Data Science Applications with Numpy, Scipy and Matplotlib (Paperback)


    • UPC: 885993520

  • Problem Solving with Algorithms and Data Structures Using Python

    THIS TEXTBOOK is about computer science. It is also about Python. However, there is much more. The study of algorithms and data structures is central to understanding what computer science is all about. Learning computer

    • UPC: 32734550

  • Hypothesis Testing, p-value & Confidence Intervals, Exploratory Data Analysis In Python Statistics

    Think Stats Exploratory Data Analysis In Python
    python data science course,hypothesis testing example,statistics for data science,data ...

    Exploratory Data Analysis

    Think Stats Exploratory Data Analysis In Python
    Brian Caffo,Johns Hopkins University,Data Science,Big data,BD2KTCC,Big Data U,BD2K Guid...

    Christopher Fonnesbeck - Introduction to Statistical Modeling with Python - PyCon 2017

    Think Stats Exploratory Data Analysis In Python