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Overview of Data Mining and Predictive Modelling
 
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My web page: www.imperial.ac.uk/people/n.sadawi The slides can be found here: https://github.com/nsadawi/DataMiningSlides
Views: 117691 Noureddin Sadawi
Building Data Mining Model with IBM SPSS Modeler
 
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Building Data Mining Model with IBM SPSS Modeler
Views: 3952 Chuc Nguyen Van
Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 50466 edureka!
SAS® Enterprise Miner™ Software Demo
 
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http://www.sas.com/enterpriseminer SAS Enterprise Miner streamlines data mining to create accurate predictive and descriptive models based on large volumes of enterprisewide data. SAS ENTERPRISE MINER Reveal valuable insights with powerful data mining software. Descriptive and predictive modeling provide insights that drive better decision making. Now you can streamline the data mining process to develop models quickly. Understand key relationships. And find the patterns that matter most. Looking for benefits? How about: * Build better models with the best tools. * Empower business users. * Improve prediction accuracy. Share reliable results. * Automate model deployment and scoring. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/enterpriseminer SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 97389 SAS Software
Creating Data Mining Structures & Predictive Models using the Excel Add-In  for SQL Server 2008
 
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A demonstration of how to create Data Mining Structures & Predictive Models using the Excel Data mining Addin for SQL Server 2008. A data mining structure is created first and then a Microsoft Decision Tree & Neural Network are created. In the subsequent video I will create a lift chart (also known as an Accuracy Chart) to compare the effectiveness of the two models. The raw data used in the demonstration is available at http://www.analyticsinaction.com/creating-data-mining-structures-predictive-models-using-the-excel-add-in-for-sql-server-2008/ I also have a comprehensive 60 minute T-SQL course available at Udemy : https://www.udemy.com/t-sql-for-data-analysts/?couponCode=ANALYTICS50%25OFF
Views: 25941 Steve Fox
Data Mining Techniques to Prevent Credit Card Fraud
 
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Includes a brief introduction to credit card fraud, types of credit card fraud, how fraud is detected, applicable data mining techniques, as well as drawbacks.
Views: 10724 Ben Rodick
Weka Data Mining Tutorial for First Time & Beginner Users
 
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23-minute beginner-friendly introduction to data mining with WEKA. Examples of algorithms to get you started with WEKA: logistic regression, decision tree, neural network and support vector machine. Update 7/20/2018: I put data files in .ARFF here http://pastebin.com/Ea55rc3j and in .CSV here http://pastebin.com/4sG90tTu Sorry uploading the data file took so long...it was on an old laptop.
Views: 430197 Brandon Weinberg
Data Mining using the Excel Data Mining Addin
 
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The Excel Data Mining Addin can be used to build predictive models such as Decisions Trees within Excel. The Excel Data Mining Addin sends data to SQL Server Analysis Services (SSAS) where the models are built. The completed model is then rendered within Excel. I also have a comprehensive 60 minute T-SQL course available at Udemy : https://www.udemy.com/t-sql-for-data-analysts/?couponCode=ANALYTICS50%25OFF
Views: 72868 Steve Fox
Creating a Datamining model using Oracle Data Mining 11gR2
 
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Creating a Datamining model using Oracle Data Mining 11gR2 My system is: - Linux Ubuntu 10.04 (Lucid) 64 Bit - Oracle Database 11gR2 64 Bit - Oracle SQL Developer 3.0.04
Views: 6070 esinfield
KNIME: A Tool for Data Mining
 
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KNIME is very helpful tool for Data Mining tasks like Clustering, Classification, Standard Deviation and Mean
Views: 27917 Sania Habib
Excel at Data Mining - Your First Predictions
 
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In this video, Billy Decker of StatSlice Systems shows you how to start data mining in 5 minutes with the Microsoft Excel data mining add-in*. In this example, we will create a set of predictions for new customers using a Logistic Regression models based upon old customers. For the example, we will be using a tutorial spreadsheet that can be found on Codeplex at: https://dataminingaddins.codeplex.com/releases/view/87029 *This tutorial assumes that you have already installed the data mining add-in for Excel and configured the add-in to be pointed at an instance of SQL Server to which you have access rights.
Views: 20890 StatSlice Systems
MicroStrategy - Data Mining & Predictive Analytics - Online Training Video by MicroRooster
 
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Source: MicroRooster.blogspot.com Format: A MicroStrategy Online Training Video blog. Description: An introduction to Data Mining & Predictive Analytics using MicroStrategy. This demo explains how to use MicroStrategy for performing advanced data science analysis. Must have some understanding of basic data mining to take advantage of this entry level demo.
Views: 16201 MicroRooster
CART Data Mining Software For Beginners
 
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http://www.salford-systems.com This video tutorial covers the basics of working with CART (Classification and Regression Trees) data mining technologies in the Salford Predictive Modeler software suite. This video is great for beginners or those who want to brush up on decision tree software in an easy-to-use predictive modeling application.
Views: 6254 Salford Systems
Data mining tutorial for beginners FREE Training 01
 
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Published on Aug 2, 2014 1 intro data mining and scraping next tutorial here: http://youtu.be/gb4ufqFkT7A please comment below if you have any questions. Tq Category Education License Standard YouTube License
Views: 105934 Red Team Cyber Security
Introduction to the KNIME data mining system (tutorial)
 
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Tutorial regarding how to build a workflow in the KNIME data mining and predictive analytics system. For more information or to download KNIME, please visit: http://www.knime.org/ Brought to you by Rapid Progress Marketing and Modeling, LLC (RPM Squared) http://www.RPMSquared.com/
Views: 39335 Predictive Analytics
Kamanja: An Open Source Real Time System for Scoring Data Mining Models, Greg Makowski 20150727
 
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Greg Makowski, Director of Data Science, LigaDATA This talk will start with a number of complex data real-time use cases, such as a) complex event processing, b) supporting the modeling of a data mining department and c) developing enterprise applications on Apache big-data systems. While Hadoop and big data has been around for a while, banks and healthcare companies tend not to be early IT adopters. What are some of the security or roadblocks in Apache big data systems for such industries with high requirements? Data mining models can be trained in dozens of packages, but what can simplify the deployment of models regardless of where they were trained or with what algorithm? Predictive Modeling Markup Language (PMML), is a type of XML with specific support for 15 families of data mining algorithms. Data mining software such as R, KNIME, Knowledge Studio, SAS Enterprise Miner are PMML producers. The new open-source product, Kamanja, is the first open-source, real-time PMML consumer (scoring system). One advantage of PMML systems is that it can reduce time to deploy production models from 1-2 months to 1-2 days - a pain point that may be less obvious if your data mining exposure is competitions or MOOCs. Kamanja is free on Github, supports Kafka, MQ, Spark, HBase and Cassandra among other things. Being a new open-source product, initially, Kamanja supports rules, trees and regression. I will cover an architecture of a sample application using multiple real-time open source data, such as social network campaigns and tracking sentiment for the bank client and its competitors. Other real-time architectures cover credit card fraud detection. A brief demo will be given of the social network analysis application, with text mining. An overview of products in the space will include popular Apache big data systems, real-time systems and PMML systems. For more details: Slides: http://www.slideshare.net/gregmakowski/kamanja-driving-business-value-through-realtime-decisioning-solutions http://kamanja.org/ http://www.meetup.com/SF-Bay-ACM/events/223615901/ http://www.sfbayacm.org/event/kamanja-new-open-source-real-time-system-scoring-data-mining-models Venue sponsored by eBay, Food and live streaming sponsored by LigaDATA, San Jose, CA, July 27, 2015 Chapter Chair Bill Bruns Data Science SIG Program Chair Greg Makowski Vice Chair Ashish Antal Volunteer Coordinator Liana Ye Volunteers Joan Hoenow, Stephen McInerney, Derek Hao, Vinay Muttineni Camera Tom Moran Production Alex Sokolsky Copyright © 2015 ACM San Francisco Bay Area Professional Chapter
Advanced Excel - Data Mining Techniques using Excel
 
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Key Takeaways for the session : Breaking junk using formula and generate reports VBA to manipulate data in required format Data extraction from external files Who should attend? People from any domain who work on data in any form. Good for Engineers, Leads, Managers, Sales people, HR, MIS experts, Data scientists, IT Support, BPO, KPO etc. Feel free to write me at [email protected]
Views: 22224 xtremeExcel
Doing predictive modeling using R - Rattle (Togaware)
 
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This session covers equivalent of all SAS procedures using free software - R Rattle. Hypothesis testing, Linear and Logistic regression, Cluster Analysis. Introduction to Random Forests, SVM, Boosting etc. www.learnanalytics.in
Views: 25621 Learn Analytics
Data Mining Software in Healthcare
 
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This is a brief discussion of data mining software with an emphasis on the healthcare field.
Views: 4068 Joshua White
Introduction/tutorial to visual programming in Orange (python-based) a Data Mining Tool
 
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Sumaiya Iqbal, Broad Institute of MIT and Hardvard & MGH is giving a overview of Orange a python-based Data Mining Tool. This tool is useful for individuals with and without programming background. Sumaiya gives examples for hierarchical clustering, PCA, prediction and text mining.
Views: 1598 Dennis Lal
How to use WEKA software for data mining tasks
 
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In this video i'll guide you how to use WEKA software for preprocessing, classifying, clustering, association. WEKA is a collection of machine learning algorithms for performing data mining tasks. Get WEKA from here : http://www.cs.waikato.ac.nz/ml/weka/
Views: 14608 Ranji Raj
Orange Data Mining tool
 
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For more information visit orange.biolab.si
Views: 7568 Deeksha Acharya
Data Mining- Boolean Retrieval Model
 
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Data Mining- Boolean Retrieval Model
Views: 1179 John Paul
Data Mining and Predictive Analytics Final Project
 
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Modeling Analysis (Education Dataset) in SPSS
Views: 70 gong wen
RapidMiner Tutorial - GUI Overview (Data Mining and Predictive Analytics Software)
 
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A tutorial overview of the RapidMiner GUI. RapidMiner is an open source system for data mining, predictive analytics, machine learning, and artificial intelligence applications. For more information: http://rapid-i.com/ Brought to you by Rapid Progress Marketing and Modeling, LLC (RPM Squared) http://www.RPMSquared.com/
Views: 3453 Predictive Analytics
Data Mining - Churn Analysis
 
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Data Mining Final Project: Churn analysis on a mobile company churn data set
Views: 1950 Ayame Shiba
Data Modeling for Power BI
 
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A data model is like the foundation for your house, get it right and everything else goes better. Join the Power BI desktop team in this session to learn about the key steps, and best practices, you need to take to ensure a good data model.
Views: 77359 Microsoft Power BI
Data Mining - Decision Tree
 
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Use a view to make predictions about bike purchases.
Views: 10960 Mike
Modelling and Data Mining
 
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This Lecture talks about Modelling and Data Mining
Views: 715 Cec Ugc
Manage the Data Deluge with Data Mining and Predictive Analytics
 
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http://www.sas.com/technologies/analytics/datamining/index.html Learn how data mining can be applied to identify trends, patterns and relationships while predictive analytics can be used to predict future outcomes. SAS® ENTERPRISE MINER™ Reveal valuable insights with powerful data mining software. Descriptive and predictive modeling provide insights that drive better decision making. Now you can streamline the data mining process to develop models quickly. Understand key relationships. And find the patterns that matter most. Benefits: * Build better models with the best tools. * Empower business users. * Improve prediction accuracy. Share reliable results. * Automate model deployment and scoring. LEARN MORE ABOUT SAS ENTERPRISE MINER http://www.sas.com/en_us/software/analytics/enterprise-miner.html SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in business analytics software and services, and the largest independent vendor in the business intelligence market. Through innovative solutions, SAS helps customers at more than 75,000 sites improve performance and deliver value by making better decisions faster. Since 1976 SAS has been giving customers around the world The Power to Know.® VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 83126 SAS Software
RapidMiner Tutorial - Overview of the Data Mining and Predictive Analytics
 
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A tutorial overview of RapidMiner, an open source system for data mining, predictive analytics, machine learning, and artificial intelligence applications. For more information: http://rapid-i.com/ Brought to you by Rapid Progress Marketing and Modeling, LLC (RPM Squared) http://www.RPMSquared.com/ www.RPMSquared.com
Views: 9591 Predictive Analytics
QIWare - One Click Data Mining
 
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Explainer video for the "Quick Insights Ware", an innovative data mining solution, that cuts time and costs in building business-driven analytics models such as customer segmentation, churn prediction and next best activity. QIWare by Forte Wares is a rapid analytics solution that unites the power of ETL with data mining. Designed with the adaptability to suit companies in a broad range of industries, QIWare expedites and simplifies the process of preparing data for analysis. Automating the end-to-end process, QIWare further delivers interactive, agile tools to help users when mining prepared data. BENEFITS • Cost-efficient, all-in-one analytics solution • Increased efficiency and business relevance when building analytical models • Drastically reduced data preparation time for modeling • Mitigated chance of human error FEATURES • Business-driven model development paradigm • Fully integrated and searchable data and model dictionaries • Improved data organization using a systematized task-oriented approach • In-DB processes and DB-based performance & scalability • Automated dependency tracking from data sources to model scores
Views: 456 Forte Wares
How data mining works
 
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In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at https://www.youtube.com/playlist?list=PLXMKI02h3_qjYoX-f8uKrcGqYmaqdAtq5 Please subscribe to my channel, and share this video with your peers!
Views: 204866 Thales Sehn Körting
RapidMiner Tutorial - Evaluation  (Data Mining and Predictive Analytics System)
 
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A tutorial discussing analytics evaluation with RapidMiner, an open source system for data mining, predictive analytics, machine learning, and artificial intelligence applications. For more information: http://rapid-i.com/ Brought to you by Rapid Progress Marketing and Modeling, LLC (RPM Squared) http://www.RPMSquared.com/
Views: 4929 Predictive Analytics
Data Mining with SPSS Modeler
 
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Learn more at: http://www.springer.com/978-3-319-28707-2. Opens data mining to those without programming skills. Features numerous explanatory illustrations and data examples. Covers all levels of complexity, from basic statistics to advanced predictive modeling. Main Discipline: Statistics
Views: 478 SpringerVideos
Data Mining Tutorial: TreeNet For Beginners
 
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http://www.salford-systems.com This tutorial shows how to build predictive models with TreeNet stochastic gradient boosting software.
Views: 1219 Salford Systems
How to use Weka Software for data mining
 
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weka software download link http://filehippo.com/download_weka/ How to install Red Hat Enterprise Linux 6.0 on the VMware Workstation 7 || RedHat link: https://www.youtube.com/watch?v=lLT5jz-iRPI
Views: 187 SD- Creation
Mining Financial Modeling & Valuation Course - Tutorial | Corporate Finance Institute
 
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Mining Financial Modeling & Valuation Course - Tutorial | Corporate Finance Institute Enroll in our Full Course to earn a certificate and advance your career: http://courses.corporatefinanceinstitute.com/courses/mining-industry-financial-model-valuation Master the art of building a financial model for a mining asset, complete with assumptions, financials, valuation, sensitivity analysis, and output charts. In this course we will work through a case study of a real mining asset by pulling information from the Feasibility Study, inputting it into Excel, building a forecast, and valuing the asset. -- FREE COURSES & CERTIFICATES -- Enroll in our FREE online courses and earn industry-recognized certificates to advance your career: ► Introduction to Corporate Finance: https://courses.corporatefinanceinstitute.com/courses/introduction-to-corporate-finance ► Excel Crash Course: https://courses.corporatefinanceinstitute.com/courses/free-excel-crash-course-for-finance ► Accounting Fundamentals: https://courses.corporatefinanceinstitute.com/courses/learn-accounting-fundamentals-corporate-finance ► Reading Financial Statements: https://courses.corporatefinanceinstitute.com/courses/learn-to-read-financial-statements-free-course ► Fixed Income Fundamentals: https://courses.corporatefinanceinstitute.com/courses/introduction-to-fixed-income -- ABOUT CORPORATE FINANCE INSTITUTE -- CFI is a leading global provider of online financial modeling and valuation courses for financial analysts. Our programs and certifications have been delivered to thousands of individuals at the top universities, investment banks, accounting firms and operating companies in the world. By taking our courses you can expect to learn industry-leading best practices from professional Wall Street trainers. Our courses are extremely practical with step-by-step instructions to help you become a first class financial analyst. Explore CFI courses: https://courses.corporatefinanceinstitute.com/collections -- JOIN US ON SOCIAL MEDIA -- LinkedIn: https://www.linkedin.com/company/corporate-finance-institute-cfi- Facebook: https://www.facebook.com/corporatefinanceinstitute.cfi Instagram: https://www.instagram.com/corporatefinanceinstitute Google+: https://plus.google.com/+Corporatefinanceinstitute-CFI YouTube: https://www.youtube.com/c/Corporatefinanceinstitute-CFI
SAS Visual Data Mining and Machine Learning – Interactive Interface
 
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http://www.sas.com/dmml Boost analytical productivity and solve your most complex problems faster with a single, integrated in-memory environment that's both open and scalable. SAS® VISUAL DATA MINING AND MACHINE LEARNING An intuitive programming environment. Innovative algorithms. Fast, in-memory processing. SAS Visual Data Mining and Machine Learning shatters barriers related to data volume and variety, limited analytical depth and computational bottlenecks. That means greater productivity – and faster, deeper insight. http://www.sas.com/dmml SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 4958 SAS Software
TIMi 3: developping advanced churn prevention models
 
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TIMi predictive datamining software: an advanced example of churn model for expert dataminer with the standard TIMi interface
Views: 389 MegaKranf
Predictive Analytics in Insurance
 
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If you have questions or comments on the contents of this video, please email us at [email protected] There has been considerable change in the relationships between customers and companies. Customers are in control of the relationships with their vendors and are not afraid to switch to a new provider if they do not feel they are receiving the service they deserve. Companies now have the ability to know their customers and market to them on a personalized basis using data mining and predictive analytics technologies. Predictive Analytics unlock insights that enable companies to add new customers and grow their existing business by improving their understanding of what their customers want. It uncovers hidden insights in customer data to create more personalized customer experiences that win more business while reducing costs and increasing customer loyalty. Predictive Analytics enable the very sharpest competitive edge. They deliver powerful, unique, qualitative differentiation by providing your enterprise a proprietary source of business intelligence with which to compete in Operations, Customer or Threat & Fraud applications in your organization. A predictive model generated from your data taps into experience to which only your company is privy, since it is unique to your prospect list and to the product and marketing message to which your customers respond (both positively and negatively). Therefore, the model's intelligence and insights are outside the reaches of common knowledge, and the top prospects it flags compose a customized, proprietary contact list. View this informative webinar to learn more about how Predictive Analytics are making a difference in the insurance industry through focused target marketing, and more efficient fraudulent claim detection. We discuss a detailed use-case for a real-world insurance company examining how specific customer attributes were used as indicators for fraud prediction.
Views: 11347 LPA Software Solutions
24 Predictive Analytics Training with Weka (Classification by regression)
 
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Data Mining and Predictive Analytics training course using the open source Weka tool. Videos producted by the University of Waikato, New Zealand. Posted by Rapid Progress Marketing and Modeling, LLC (RPM2) under CC BY 3.0 RPM2 is a full-service Predictive Analytics and Data Sciences Services company specializing in Model Development, Consulting, Direct Marketing Services, and Professional Training. Visit us at http://www.RPMSquared.com/
Views: 7705 Predictive Analytics
Data Mining and Analytics Made Easy with DSTK DSTKStudio
 
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DSTK - Data Science Toolkit offers Data Science softwares to help users in data mining and text mining tasks. DSTK follows closely to CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and statistical learning algorithms. DSTK Studio allows user to do data mining task easily. DSTK Studio allows Data Preparation which includes normalization and feature scaling, Data Exploration with descriptives statistics, inferential statistics, regressions and data visualizations. DSTK Studio allows predictive analytics using KNN, neural network, linear regressions and naive bayes. DSTK Studio allows you to set your own preferred RStudio, Spreadsheet application, and modeling application, and can be expanded with plugins with R Scripts. For more information, visit: http://dstk.tech
Views: 3554 SVBook
Getting Started with Orange 06: Making Predictions
 
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Making predictions with classification tree and logistic regression. Train data set: http://tinyurl.com/fruits-and-vegetables-train Test data set: http://tinyurl.com/test-fruits-and-vegetables License: GNU GPL + CC Music by: http://www.bensound.com/ Website: http://orange.biolab.si/ Created by: Laboratory for Bioinformatics, Faculty of Computer and Information Science, University of Ljubljana
Views: 54751 Orange Data Mining
Text Categorization and Clustering Data Mining Rapidminer Projects
 
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Contact Best Phd Projects Visit us: http://www.phdprojects.org/ http://www.phdprojects.org/phd-research-topic-wireless-body-area-network/
Views: 5710 PHD Projects
Data Mining Made Easy with DSTK ScriptWriter
 
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DSTK - Data Science Toolkit offers Data Science softwares to help users in data mining and text mining tasks. DSTK follows closely to CRISP DM model. DSTK offers data understanding using statistical and text analysis, data preparation using normalization and text processing, modeling and evaluation for machine learning and statistical learning algorithms. DSTK ScriptWriter allows user to write DSTK script to do data mining task easily. The script is like commands, no more memorizing the programming syntax. You can just double click and modify the commands. For more information, visit: http://dstk.tech
Views: 3557 SVBook
Lecture 07
 
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Discussions on Visualization techniques in DATA MINING Brief discussion on Data Exploration and Conditioning
▶ How to Install Anaconda || Data Mining Tools Installation || Data Mining Software Setup
 
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Download, Install Anaconda, Jupyter Notebook, Spyder for Python Direct Download Link : https://www.anaconda.com/download/ »See Full #Data_Mining Video Series Here: https://www.youtube.com/watch?v=t8lSMGW5eT0&list=PL9qn9k4eqGKRRn1uBmEhlmEd58ATOziA1 In This Video You are gonna learn Data Mining #Bangla_Tutorial Data mining is an important process to discover knowledge about your customer behavior towards your business offerings. » My #Linkedin_Profile: https://www.linkedin.com/in/rafayet13 » Read My Full Article on Data Mining Career Opportunity & So On » Link: https://medium.com/@rafayet13 #Learn_Data_Mining_In_A_Easy_Way #Data_Mining_Essential_Course #Data_Mining_Course_For_Beginner ✔ How to Install Data Mining Tools || Anaconda Installation for Data Mining || Data Mining Software Install anaconda Distribution Package for data mining, data science, data analysis how to install anaconda python on windows how to install anaconda python on windows 10 Why You Should Use Anaconda for Python Development Jupyter Notebook Tutorial: Introduction, Setup, and Walkthrough ipython notebook
Views: 2127 BookBd

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