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    Learning Python Data Analysis


    Learning Python Data Analysis
    Learning Python Data Analysis
    MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6 Hours | 1.32 GB
    Genre: eLearning | Language: English

    Python features numerous numerical and mathematical toolkits such as: Numpy, Scipy, Scikit learn and SciKit, all used for data analysis and machine learning. With the aid of all of these, Python has become the language of choice for data scientists for data analysis, visualization, and machine learning.


    Learning Python Data Analysis


    Learning Python Data Analysis

    Learning Python Data Analysis
    MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6 Hours | 1.32 GB
    Genre: eLearning | Language: English
    Python features numerous numerical and mathematical toolkits such as: Numpy, Scipy, Scikit learn and SciKit, all used for data analysis and machine learning. With the aid of all of these, Python has become the language of choice for data scientists for data analysis, visualization, and machine learning.



    Learning Python Data Analysis


    Learning Python Data Analysis
    Learning Python Data Analysis
    MP4 | Video: AVC 1280x720 | Audio: AAC 44KHz 2ch | Duration: 6 Hours | 1.32 GB
    Genre: eLearning | Language: English


    Learning python for data analysis and visualization



    Learning python for data analysis and visualization

    Learning python for data analysis and visualization
    English | Size: 3.98 GB
    Category: CBTS
    Learning Python for Data Analysis and Visualization

    Learn python and how to use it to analyze,visualize and present data. Includes tons of sample code and hours of video!
    Bestselling
    4.4 (4,516 ratings)
    50,303 students enrolled
    Created by Jose Portilla
    Last updated 3/2017
    English


    Learning Pandas - Python Data Discovery and Analysis Made Easy


    Learning Pandas - Python Data Discovery and Analysis Made Easy

    Learning Pandas - Python Data Discovery and Analysis Made Easy by Michael Heydt
    English | Mar. 24, 2015 | ISBN: 1783985127 | 372 Pages | EPUB/MOBI/PDF (True) | 36.65 MB

    This learners guide will help you understand how to use the features of pandas for interactive data manipulation and analysis.


    Udemy - Learning Python for Data Analysis and Visualization


    Udemy - Learning Python for Data Analysis and Visualization

    Udemy - Learning Python for Data Analysis and Visualization
    English | 8 Hours | mp4 | H264 1280x720 | AAC 2 ch | 1.01 Gb
    Genre: eLearning


    Learning python for data analysis and visualization


    Learning python for data analysis and visualization
    Learning python for data analysis and visualization
    English | Size: 3.98 GB
    Category: CBTS




    Learning Python for Data Analysis and Visualization (Updated)


    Learning Python for Data Analysis and Visualization (Updated)

    Udemy - Learning Python for Data Analysis and Visualization
    MP4 | Video: 1280x720 | 76 kbps | 48 KHz | Duration: 20 Hours | 3.23 GB
    Genre: eLearning | Language: English


    Packt Publishing - Practical Python Data Science Techniques



    Packt Publishing - Practical Python Data Science Techniques

    Packt Publishing - Practical Python Data Science Techniques
    English | Size: 489.80 MB
    Category: Tutorial
    Data Science is an interdisciplinary field that employs techniques to extract knowledge from data. As one of the fast growing fields in technology, the interest for Data Science is booming, and the demand for specialized talent is on the rise.

    This course takes a practical approach to Data Science, presenting solutions for common and not-so-common problems in the form of recipes. This video will begin from exploring your data using the different methods like data acquisition, data cleaning, data mining, machine learning, and data visualization, applied to a variety of different data types like structured data or free-form text. It will show how to deal with text using different methods like text normalization and calculating word frequencies. The audience will learn how to deal with data with a time dimension and how to build a recommendation system as well as about supervised learning problems (regression and classification) and unsupervised learning problems (clustering). They will learn how to perform text preprocessing steps that are necessary for every text analysis applications. Specifically, the course will cover tokenization, stop-word removal, stemming and other preprocessing techniques.


    Machine Learning in Python - Essential Techniques for Predictive Analysis - 1st Edition (2015) (Pdf, Epub & Mobi)



    Machine Learning in Python - Essential Techniques for Predictive Analysis - 1st Edition (2015) (Pdf, Epub & Mobi)

    Machine Learning in Python - Essential Techniques for Predictive Analysis - 1st Edition (2015) (Pdf, Epub & Mobi)
    Publisher: Wiley; 1 edition (April 27, 2015)
    Language: English | ISBN-10: 1118961749 - ISBN-13: 978-1118961742 | 31 MB

    Learn a simpler and more effective way to analyze data and predict outcomes with Python Machine Learning in Python shows you how to successfully analyze data using only two core machine learning algorithms, and how to apply them using Python. By focusing on two algorithm families that effectively predict outcomes, this book is able to provide full descriptions of the mechanisms at work, and the examples that illustrate the machinery with specific, hackable code. The algorithms are explained in simple terms with no complex math and applied using Python, with guidance on algorithm selection, data preparation, and using the trained models in practice. You will learn a core set of Python programming techniques, various methods of building predictive models, and how to measure the performance of each model to ensure that the right one is used. The chapters on penalized linear regression and ensemble methods dive deep into each of the algorithms, and you can use the sample code in the book to develop your own data analysis solutions. Machine learning algorithms are at the core of data analytics and visualization. In the past, these methods required a deep background in math and statistics, often in combination with the specialized R programming language. This book demonstrates how machine learning can be implemented using the more widely used and accessible Python programming language. * Predict outcomes using linear and ensemble algorithm families * Build predictive models that solve a range of simple and complex problems * Apply core machine learning algorithms using Python * Use sample code directly to build custom solutions Machine learning doesn't have to be complex and highly specialized. Python makes this technology more accessible to a much wider audience, using methods that are simpler, effective, and well tested. Machine Learning in Python shows you how to do this, without requiring an extensive background in math or statistics.


Maya 2018 Essential Training with George Maestri (updated Nov
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Cakewalk SONAR Platinum 23.9.0.31 Multilingual
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