Applied data mining

Cross-industry standard process for data mining

Cross-industry standard process for data mining, known as CRISP-DM, is an open standard process model that describes common approaches used by data mining experts. It is the most widely-used analytics model. In 2015, IBM released a new methodology called for Data Mining/Predictive Analytics (also known as ASUM-DM) which refines and extends CRISP-DM. (Wikipedia).

Cross-industry standard process for data mining
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Cross Validation in Scikit Learn

This is the big one. We go over cross validation and other techniques to split your data. VERY IMPORTANT. We talk about cross validated scoring and prediction and then we talk about scikit learn cross validation iterators: K-fold, stratified fold, grouped data, and time series split. Asso

From playlist A Bit of Data Science and Scikit Learn

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What is data leakage?

#machinelearning #shorts #datascience

From playlist Quick Machine Learning Concepts

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Data Mining with Weka (2.5: Cross-validation)

Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 5: Cross-validation https://weka.waikato.ac.nz/ Slides (PDF): https://www.cs.waikato.ac.nz/ml/weka/mooc/dataminingwithweka/ https://twitter.com/WekaMOOC https://wekamooc.blogspot.co.nz/ Department of

From playlist Data Mining with Weka

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Digital Twins

This lecture discusses the use of data-driven digital twins in advanced model-based design and engineering, and the related digital thread, which ties together the data throughout an entire complex engineering process, such as manufacturing. Book website: http://databookuw.com/ Steve Br

From playlist Intro to Data Science

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Cross Validation

In this video, we learn a hack to increase the size of our training set while still being able to do validation: cross validation. Link to my notes on Introduction to Data Science: https://github.com/knathanieltucker/data-science-foundations Try answering these comprehension questions to

From playlist Introduction to Data Science - Foundations

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What Is Data Science?

Data science describes the activities related to collecting, storing and creating value from data. Creating value from data means using it to do useful things, like making better decisions. By analyzing data we can detect patterns in it and understand the process that generated it. This i

From playlist Data Science Dictionary

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From Academia to the Corporate World

With more and more data available and generated every day, uncovering patterns and drawing informed insights from it to solve complex problems are skills that data scientists need to acquire. Although they are formal and nonformal routes to have a data science career, there are a few thing

From playlist Ace Your Data Science Interview

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Multivariable Calculus: Cross Product

In this video we explore how to compute the cross product of two vectors using determinants.

From playlist Multivariable Calculus

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MSBI Interview Questions And Answers | MSBI Certification Training | Edureka

This Edureka "MSBI Interview Questions and Answers" video will help you unravel concepts of Microsoft BI and touch on topics that are the crux for succeeding in any MSBI interview. It's is a one-stop solution to grasp all your MSBI job opportunities. Subscribe to our channel to get video

From playlist Microsoft BI Tutorial Videos

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Data Science in Practice Across Three Industries | Simplilearn Webinar

About the Webinar The rapid adoption of emerging technologies requiring data science skills is creating both substantial value for organizations and enormous new data volume and complexity demands. Many companies are scrambling to find the right data science talent and tools to leverage th

From playlist Simplilearn Live

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Python vs R vs SAS | R, Python And SAS Comparison | What I Should Learn In 2021? | Simplilearn

🔥Explore Our Free Courses: https://www.simplilearn.com/skillup-free-online-courses?utm_campaign=Python&utm_medium=DescriptionFirstFold&utm_source=youtube This video on Python vs R vs SAS will help you understand the fundamental difference between the three most popularly used programming l

From playlist R Programming For Beginners [2022 Updated]

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World Premiere: Construction's Digital Manufacturing Revolution

Join us LIVE from London's Ham Yard Theatre for the world premiere of Construction's Digital Manufacturing Revolution! For more on Solibri visit - https://bit.ly/2WO40XA Watch the full documentary here - https://www.youtube.com/watch?v=6-mxc9KBgbo Learn more about Laing O'Rourke's Explo

From playlist Offsite Construction - The B1M

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Basics Of Pyspark For Beginners | Beginners Guide To Pyspark | Pyspark Training | Simplilearn

This video on "Basics of Pyspark for beginners" will give you a brief understanding of PySpark, its key features, Usecases of Pyspark in the industry, Pyspark Dataframe, and many more. To Understand Pyspark and its use in the big data world, we must first understand Apache Spark. Therefore

From playlist 🔥Python | Python Tutorial For Beginners | Python Projects | Python Interview Questions And Answers | Updated Python Playlist 2023 | Simplilearn

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23C3: Security in the cardholder data processing?!

Speaker: Manuel Atug Experiences and lessons learned with the Payment Card Industry Data Security Standard MasterCard and Visa have jointly released the PCI Data Security Standard which defines security requirements for the processing of card data in face-to-face and card-absent transac

From playlist 23C3: Who can you trust

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Top Deep Learning Projects | Artificial Intelligence Projects | Deep Learning Training | Edureka

**AI and Deep Learning with TensorFlow: https://www.edureka.co/ai-deep-learning-with-tensorflow ** This video on Deep Learning Projects will provide you with a list of the top open-source deep learning projects you must try in 2019. Lung Cancer Detection: https://github.com/ddhaval04

From playlist Deep Learning With TensorFlow Videos

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Panel Discussion on The Outlook for Quantitative Investing

National Meeting of Women in Financial Mathematics Panel Discussion on The Outlook for Quantitative Investing - Rosemary Macedo: QS Investors - panel chair - Cristina Polizu: Standard & Poor's - Gita Rao: MIT Sloan School & Aspari Capital - Elizabeth Smith: Orbital Insight Institute for

From playlist National Meeting of Women in Financial Mathematics 2017

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Data Science Training | Data Science Tutorial for Beginners | Data Science with R | Edureka

***** Data Science Training - https://www.edureka.co/data-science-r-programming-certification-course ***** This Edureka video on "Data Science Training" will provide you with a detailed and comprehensive training on Data Science, the real-life use cases and the various paths one can take

From playlist Data Science Training Videos

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(ML 12.5) Cross-validation (part 1)

Description of K-fold cross-validation (CV), leave-one-out cross-validation (LOOCV), and random subsamples, for model selection.

From playlist Machine Learning

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SPSS Modeler | SEMMA | Data mining