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    Data Science With R Course Series - Week 10

    Written by David Curry on November 19, 2018
    ...

    Create strategies for management to reduce employee attrition. This week is designed to integrate critical thinking and strategy development with data-driven decision making.

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    Ultimate Python Cheat Sheet: Data Science Workflow with Python

    Written by Matt Dancho on November 18, 2018
    ...

    Get the Ultimate Python Cheat Sheet that makes learning data science with Python quick and efficient.

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    Data Science With R Course Series - Week 9

    Written by David Curry on November 12, 2018
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    This week will extend what you learned from the Expected Value by performing an optimization and sensitivity analysis.

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    Data Science With R Course Series - Week 8

    Written by David Curry on November 5, 2018
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    Learn everything you need to know about the Expected Value Framework. The Expected Value Framework is way to apply an expected value to a classification model - it connects a machine learning classification model to ROI for the business.

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    R Cheat Sheet: Data Science Workflow with R

    Written by Matt Dancho on November 4, 2018
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    Get the new R Cheat Sheet that makes learning data science with R quick and efficient.

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    Data Science With R Course Series - Week 7

    Written by David Curry on October 29, 2018
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    Learn how to explain machine learning models with LIME. LIME stands for Local Interpretable Model-Agnostic Explanations and is used to understand which model features have the most predictive impact.

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    Marketing Analytics and Data Science

    Written by David Curry on October 26, 2018
    ...

    This article uses a Kaggle competition as an opportunity to show how data science can be used in digital marketing to answer a specific question, and take what is learned from the data and apply it to marketing strategies.

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    Data Science With R Course Series - Week 6

    Written by David Curry on October 22, 2018
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    In Data Science With R Course Series - Week 6, learn how to analyze model performance and communicate machine learning model results to stakeholders.

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    Data Science With R Course Series - Week 5

    Written by David Curry on October 15, 2018
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    The culmination of the previous weeks has been preparation for machine learning modeling. At this stage, we have defined the business problem, we’ve explored and understood how the data relates to the business problem, and we’ve preprocessed the data in preparation for modeling.

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    Data Science With R Course Series - Week 4

    Written by David Curry on October 10, 2018
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    This week in the Data Science With R Course Series we’ll cover Data Preparation, where we structure the data in preparation for modeling. This week’s modules will teach you:

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    R and Python: How to Integrate the Best of Both into Your Data Science Workflow

    Written by Matt Dancho on October 8, 2018
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    R and Python - learn how to integrate both R and Python into your data science workflow. Use the strengths of the two dominant data science languages.

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    Data Science With R Course Series - Week 3

    Written by Matt Dancho on October 1, 2018
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    Data Science and Machine Learning in business begins with R. Why? R is the premier language that enables rapid exploration, modeling, and communication in a way that no other programming language can match: SPEED! This is why you need to learn R. Time is money, and, in a world where you are measured on productivity and skill, R is your machine-learning powered productivity booster.

    Read More...
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