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KEEL Data mining tool demo
 
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KEEL Data minig tool Demo of installation and Working
Views: 3680 Manukumar K J
10 Free Must Have Office Add-ins for Microsoft Office
 
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10 Free Must Have Office Add-ins for Microsoft Office Microsoft Office suite provides a feature packed program straight out of the box and is ample for most users. But if you are like me, I like to use additional add-ins to speed up my work flow and manage my day better. You may be thinking how much is this going to cost? well not a penny, because the ones I am showing you are for free. The new FindTime Add-in from Microsoft Garage is a awesome add-in which will help you setup, schedule and organize meetings better. So if you want to make life easier, take a look at some of the must have add-ins I have selected for you guys to manage you day better. I have added a couple of extra add-ins to the list. Dropbox Google Drive FindTime uber FedEx Packit Tracker DocuSign for Word PayPal Mini Calendar and Date Picker Bubbles Sticky Notes for Office Britannica Researcher E-mail Follow-Up Email Translator Imagr - Image search Mini Calendar and Date Picker Need help with your computer? join our forum http://www.briteccomputers.co.uk/forum
Views: 25049 Britec09
Overview of Data Mining course
 
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Overview of Data Mining course, course structure, outcomes, schedule, reference
Views: 262 kks RGUKT
Data Analysis Plug in Alternative for Mac
 
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Excel Data Analysis Plug in Alternative for Mac
Views: 113486 Michael Dixon
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
Introduction to Data Science with R - Data Analysis Part 1
 
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Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 860629 David Langer
Downloading Data from Google Trends And Analyzing It With R
 
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Follow me on Twitter @amunategui Check out my new book "Monetizing Machine Learning": https://amzn.to/2CRUOKu In this video, I introduce Google Trends by querying it directly through the web, downloading a comma-delimited file of the results, and analyzing it in R. Full walkthrough and code: http://amunategui.github.io/google-trends-walkthrough/ Support these videos, check out my in-depth classes on Udemy.com (discounts and specials) at http://amunategui.github.io/udemy/
Views: 20520 Manuel Amunategui
R Tutorial For Beginners | R Programming Tutorial l R Language For Beginners | R Training | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R Tutorial (R Tutorial Blog: https://goo.gl/mia382) will help you in understanding the fundamentals of R tool and help you build a strong foundation in R. Below are the topics covered in this tutorial: 1. Why do we need Analytics ? 2. What is Business Analytics ? 3. Why R ? 4. Variables in R 5. Data Operator 6. Data Types 7. Flow Control 8. Plotting a graph in R Check out our R Playlist: https://goo.gl/huUh7Y Subscribe to our channel to get video updates. Hit the subscribe button above. #R #Rtutorial #Ronlinetraining #Rforbeginners #Rprogramming How it Works? 1. This is a 5 Week Instructor led Online Course, 30 hours of assignment and 20 hours of project work 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. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course edureka's Data Analytics with R training course is specially designed to provide the requisite knowledge and skills to become a successful analytics professional. It covers concepts of Data Manipulation, Exploratory Data Analysis, etc before moving over to advanced topics like the Ensemble of Decision trees, Collaborative filtering, etc. During our Data Analytics with R Certification training, our instructors will help you: 1. Understand concepts around Business Intelligence and Business Analytics 2. Explore Recommendation Systems with functions like Association Rule Mining , user-based collaborative filtering and Item-based collaborative filtering among others 3. Apply various supervised machine learning techniques 4. Perform Analysis of Variance (ANOVA) 5. Learn where to use algorithms - Decision Trees, Logistic Regression, Support Vector Machines, Ensemble Techniques etc 6. Use various packages in R to create fancy plots 7. Work on a real-life project, implementing supervised and unsupervised machine learning techniques to derive business insights - - - - - - - - - - - - - - - - - - - Who should go for this course? This course is meant for all those students and professionals who are interested in working in analytics industry and are keen to enhance their technical skills with exposure to cutting-edge practices. This is a great course for all those who are ambitious to become 'Data Analysts' in near future. This is a must learn course for professionals from Mathematics, Statistics or Economics background and interested in learning Business Analytics. - - - - - - - - - - - - - - - - Why learn Data Analytics with R? The Data Analytics with R training certifies you in mastering the most popular Analytics tool. "R" wins on Statistical Capability, Graphical capability, Cost, rich set of packages and is the most preferred tool for Data Scientists. Below is a blog that will help you understand the significance of R and Data Science: Mastering R Is The First Step For A Top-Class Data Science Career Having Data Science skills is a highly preferred learning path after the Data Analytics with R training. Check out the upgraded Data Science Course For more information, please write back to us at [email protected] Call us at US: 1844 230 6362(toll free) or India: +91-90660 20867 Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 369570 edureka!
Data Mining using R | R Tutorial for Beginners | Data Mining Tutorial for Beginners 2018 | ExcleR
 
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Data Mining Using R (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information. Data Mining Certification Training Course Content : https://www.excelr.com/data-mining/ Introduction to Data Mining Tutorials : https://youtu.be/uNrg8ep_sEI What is Data Mining? Big data!!! Are you demotivated when your peers are discussing about data science and recent advances in big data. Did you ever think how Flip kart and Amazon are suggesting products for their customers? Do you know how financial institutions/retailers are using big data to transform themselves in to next generation enterprises? Do you want to be part of the world class next generation organisations to change the game rules of the strategy making and to zoom your career to newer heights? Here is the power of data science in the form of Data mining concepts which are considered most powerful techniques in big data analytics. Data Mining with R unveils underlying amazing patterns, wonderful insights which go unnoticed otherwise, from the large amounts of data. Data mining tools predict behaviours and future trends, allowing businesses to make proactive, unbiased and scientific-driven decisions. Data mining has powerful tools and techniques that answer business questions in a scientific manner, which traditional methods cannot answer. Adoption of data mining concepts in decision making changed the companies, the way they operate the business and improved revenues significantly. Companies in a wide range of industries such as Information Technology, Retail, Telecommunication, Oil and Gas, Finance, Health care are already using data mining tools and techniques to take advantage of historical data and to create their future business strategies. Data mining can be broadly categorized into two branches i.e. supervised learning and unsupervised learning. Unsupervised learning deals with identifying significant facts, relationships, hidden patterns, trends and anomalies. Clustering, Principle Component Analysis, Association Rules, etc., are considered unsupervised learning. Supervised learning deals with prediction and classification of the data with machine learning algorithms. Weka is most popular tool for supervised learning. Topics You Will Learn… Unsupervised learning: Introduction to datamining Dimension reduction techniques Principal Component Analysis (PCA) Singular Value Decomposition (SVD) Association rules / Market Basket Analysis / Affinity Filtering Recommender Systems / Recommendation Engine / Collaborative Filtering Network Analytics – Degree centrality, Closeness Centrality, Betweenness Centrality, etc. Cluster Analysis Hierarchical clustering K-means clustering Supervised learning: Overview of machine learning / supervised learning Data exploration methods Basic classification algorithms Decision trees classifier Random Forest K-Nearest Neighbours Bayesian classifiers: Naïve Bayes and other discriminant classifiers Perceptron and Logistic regression Neural networks Advanced classification algorithms Bayesian Networks Support Vector machines Model validation and interpretation Multi class classification problem Bagging (Random Forest) and Boosting (Gradient Boosted Decision Trees) Regression analysis Tools You Will Learn… R: R is a programming language to carry out complex statistical computations and data visualization. R is also open source software and backed by large community all over the world who are contributing to enhancing the capability. R has many advantages over other tools available in the market and it has been rated No.1 among the data scientist community. Mode of Trainings : E-Learning Online Training ClassRoom Training --------------------------------------------------------------------------- For More Info Contact :: Toll Free (IND) : 1800 212 2120 | +91 80080 09704 Malaysia: 60 11 3799 1378 USA: 001-608-218-3798 UK: 0044 203 514 6638 AUS: 006 128 520-3240 Email: [email protected] Web: www.excelr.com
Text Analytics With R | How to Connect Facebook with R | Analyzing Facebook in R
 
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In this text analytics with R tutorial, I have talked about how you can connect Facebook with R and then analyze the data related to your facebook account in R or analyze facebook page data in R. Facebook has millions of pages and getting emotions and text from these pages in R can help you understand the mood of people as a marketer. Text analytics with R,how to connect facebook with R,analyzing facebook in R,analyzing facebook with R,facebook text analytics in R,R facebook,facebook data in R,how to connect R with Facebook pages,facebook pages in R,facebook analytics in R,creating facebook dataset in R,process to connect facebook with R,facebook text mining in R,R connection with facebook,r tutorial for facebook connection,r tutorial for beginners,learn R online,R beginner tutorials,Rprg
QDA Miner - Qualitative Data Analysis (Windows)
 
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This is a tutorial on using QDA Miner to analyze qualitative research. 0:09 - Creating a project 1:23 - Adding a code 2:23 - Coding a segment of text 4:14 - Highlight or dim already-coded text 4:57 - Text retrieval - list all instances of a keyword 7:16 - Coding retrieval - list all instances of a code 9:30 - Coding frequency - count how many times each code appears QDA Miner runs on Windows. Download: http://www.provalisresearch.com/Downl... And there are several workarounds to run it on a Mac: http://provalisresearch.com/products/... An alternative program, which runs on both Mac and Windows, is Qualyzer: http://qualyzer.bitbucket.org/downloa... http://qualyzer.bitbucket.org/getStar...
Views: 33546 Sam Long
Create A Word Cloud In Microsoft Word
 
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Word clouds are very popular and can form an interesting and attractive image within a document fairly easily - and with no copyright or license to worry about if you've created it yourself. In this quick video I show you how easy it is now to create beautiful word clouds right within Microsoft Word itself - no switching to websites or other applications. Create professional looking word clouds from your own documents in seconds!
Views: 225947 The Tech Train
Using Data to Analyze Learning
 
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Introduction to Educational Data Mining, Dr. Luc Paquette
September Event 2018 — Apple
 
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Apple Special Event. September 12, 2018. Big news all around. Take a look at the all-new Apple Watch Series 4, iPhone XS and iPhone XS Max, and iPhone XR. 7:48 — Apple Watch Series 4 Learn more at https://apple.co/2p4OlCZ 38:46 — iPhone XS 43:08 — iPhone XS Max Learn more at https://apple.co/2x7ApN9 1:26:26 — iPhone XR Learn more at https://apple.co/2QsyzOQ
Views: 2027364 Apple
Intro and Getting Stock Price Data - Python Programming for Finance p.1
 
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Welcome to a Python for Finance tutorial series. In this series, we're going to run through the basics of importing financial (stock) data into Python using the Pandas framework. From here, we'll manipulate the data and attempt to come up with some sort of system for investing in companies, apply some machine learning, even some deep learning, and then learn how to back-test a strategy. I assume you know the fundamentals of Python. If you're not sure if that's you, click the fundamentals link, look at some of the topics in the series, and make a judgement call. If at any point you are stuck in this series or confused on a topic or concept, feel free to ask for help and I will do my best to help. https://pythonprogramming.net https://twitter.com/sentdex https://www.facebook.com/pythonprogramming.net/ https://plus.google.com/+sentdex
Views: 225236 sentdex
Exporting SPSS Output To Word
 
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Short tutorial on exporting SPSS to Microsoft Word to accompany my book 'Discovering Statistics Using SPSS'.
Views: 186226 Andy Field
SPSS Questionnaire/Survey Data Entry - Part 1
 
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How to enter and analyze questionnaire (survey) data in SPSS is illustrated in this video. Lots more Questionnaire/Survey & SPSS Videos here: https://www.udemy.com/survey-data/?couponCode=SurveyLikertVideosYT Check out our next text, 'SPSS Cheat Sheet,' here: http://goo.gl/b8sRHa. Prime and ‘Unlimited’ members, get our text for free. (Only 4.99 otherwise, but likely to increase soon.) Survey data Survey data entry Questionnaire data entry Channel Description: https://www.youtube.com/user/statisticsinstructor For step by step help with statistics, with a focus on SPSS. Both descriptive and inferential statistics covered. For descriptive statistics, topics covered include: mean, median, and mode in spss, standard deviation and variance in spss, bar charts in spss, histograms in spss, bivariate scatterplots in spss, stem and leaf plots in spss, frequency distribution tables in spss, creating labels in spss, sorting variables in spss, inserting variables in spss, inserting rows in spss, and modifying default options in spss. For inferential statistics, topics covered include: t tests in spss, anova in spss, correlation in spss, regression in spss, chi square in spss, and MANOVA in spss. New videos regularly posted. Subscribe today! YouTube Channel: https://www.youtube.com/user/statisticsinstructor Video Transcript: In this video we'll take a look at how to enter questionnaire or survey data into SPSS and this is something that a lot of people have questions with so it's important to make sure when you're working with SPSS in particular when you're entering data from a survey that you know how to do. Let's go ahead and take a few moments to look at that. And here you see on the right-hand side of your screen I have a questionnaire, a very short sample questionnaire that I want to enter into SPSS so we're going to create a data file and in this questionnaire here I've made a few modifications. I've underlined some variable names here and I'll talk about that more in a minute and I also put numbers in parentheses to the right of these different names and I'll also explain that as well. Now normally when someone sees this survey we wouldn't have gender underlined for example nor would we have these numbers to the right of male and female. So that's just for us, to help better understand how to enter these data. So let's go ahead and get started here. In SPSS the first thing we need to do is every time we have a possible answer such as male or female we need to create a variable in SPSS that will hold those different answers. So our first variable needs to be gender and that's why that's underlined there just to assist us as we're doing this. So we want to make sure we're in the Variable View tab and then in the first row here under Name we want to type gender and then press ENTER and that creates the variable gender. Now notice here I have two options: male and female. So when people respond or circle or check here that they're male, I need to enter into SPSS some number to indicate that. So we always want to enter numbers whenever possible into SPSS because SPSS for the vast majority of analyses performs statistical analyses on numbers not on words. So I wouldn't want and enter male, female, and so forth. I want to enter one's, two's and so on. So notice here I just arbitrarily decided males get a 1 and females get a 2. It could have been the other way around but since male was the first name listed I went and gave that 1 and then for females I gave a 2. So what we want to do in our data file here is go head and go to Values, this column, click on the None cell, notice these three dots appear they're called an ellipsis, click on that and then our first value notice here 1 is male so Value of 1 and then type Label Male and then click Add. And then our second value of 2 is for females so go ahead and enter 2 for Value and then Female, click Add and then we're done with that you want to see both of them down here and that looks good so click OK. Now those labels are in here and I'll show you how that works when we enter some numbers in a minute. OK next we have ethnicity so I'm going to call this variable ethnicity. So go ahead and type that in press ENTER and then we're going to the same thing we're going to create value labels here so 1 is African-American, 2 is Asian-American, and so on. And I'll just do that very quickly so going to Values column, click on the ellipsis. For 1 we have African American, for 2 Asian American, 3 is Caucasian, and just so you can see that here 3 is Caucasian, 4 is Hispanic, and other is 5, so let's go ahead and finish that. Four is Hispanic, 5 is other, so let's go to do that 5 is other. OK and that's it for that variable. Now we do have it says please state I'll talk about that next that's important when they can enter text we have to handle that differently.
Views: 460785 Quantitative Specialists
Telegram Bot Tutorial
 
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Learn how to create a basic Telegram bot with PHP Join our Telegram Super Group - https://telegram.me/joinchat/AOmo4jzvT2L6_PLrLApWqQ How to support the channel? BTC: 3P59HS2fPj2iq9nW5wBJbj5gdGxDvoQHYQ LTC: MF3Agcdz272ihERVWo9DUXPrhKeBqP5GYG ETH: 0x223D32b84b4c5f619Ec45e0B33d16C43F7e2aE26 My Twitter - https://twitter.com/PatrickLemke
Views: 326404 Patrick Lemke
Excel VBA Pull Data From A Website
 
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The website has changed since I originally made this video. The state appears to have been removed but you can still get the city and county at least. Change the code from what I say in the video to this: Dim sDD as string sDD = Trim(Doc.getElementsByTagName("dd")(0).innerText) sDD = split(sDD,VbNewLine)(0) Range("city").Value = Split(sDD,", ")(0) Range("county").Value = Split(sDD,", ")(1) A tutorial showing how to pull data from a website. In this tutorial I make a zip lookup that pulls in the city, state and county based on a given zip code. Since posterous closed: http://brettdotnet.wordpress.com/2012/04/20/excel-vba-pull-data-from-a-website-update/
Views: 393567 DontFretBrett
Statistical Aspects of Data Mining (Stats 202) Day 1
 
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Google Tech Talks June 26, 2007 ABSTRACT This is the Google campus version of Stats 202 which is being taught at Stanford this summer. I will follow the material from the Stanford class very closely. That material can be found at www.stats202.com. The main topics are exploring and visualizing data, association analysis, classification, and clustering. The textbook is Introduction to Data Mining by Tan, Steinbach and Kumar. Googlers are welcome to attend any classes which they think might be of interest to them. Credits: Speaker:David Mease
Views: 213697 GoogleTechTalks
How to Explore the Analysis Toolpak in Excel
 
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Follow this tutorial and learn how to work with the options present under Analysis Toolpak such as correlation and moving average. Don't forget to check out our site http://howtech.tv/ for more free how-to videos! http://youtube.com/ithowtovids - our feed http://www.facebook.com/howtechtv - join us on facebook https://plus.google.com/103440382717658277879 - our group in Google+ In this tutorial, we will teach you how to explore the analysis toolpak in Excel. First of all, we will show you how to enable Analysis toolpak. Once the toolpak has been enabled, we will show you how to work with it. Under data analysis, you will find several options. We will show you how to work with two of them in this video; correlation and moving average. We will show you how to apply both of the functions. Step # 1 -- Go to the Backstage View First of all you need to enable the analysis toolpak in Excel. Go to the "file" tab also known as the backstage view and click on "options". Step # 2 -- Enable Analysis Toolpak From the "excel options" window, go to the "add-ins" tab and select the "analysis toolpak" there. Click on the "go" button once you're done. A small window will open up; select the first option which is the analysis toolpak and click on the "ok" button. Step # 3 -- Use the Data Analysis Option Analysis ToolPak has various options but we will work with only two in this tutorial. The first one is how to find correlation. Go to the "data" tab and click on the "data analysis" button on the extreme right. From the small box, select the "correlation" option and click the "ok" button. Step # 4 -- Apply Correlation in Excel Now, the "correlation" box will appear on your screen. In the "input" range, select the cells which have data in them. If you include the first row which contains labels, then make sure the "labels in first row" box is checked. Lastly, select the "output" range. Click inside the box of the "output range" and then click on the cell where you want the output to be displayed. Click on the "ok" button to exit. The correlation result will be displayed to you. Step # 5 -- Apply Moving Average in Excel In the next sheet, we will take out the "moving average". Click on the "data analysis" button and then select "moving average". Click on the "ok" button and the "moving average" box will open up. Put in the range of input and since we are only going to select the "total" column without the labels so the "label" box should be unchecked. Specify the cell where you want the output to be displayed in the output range. Before clicking on the "ok" button, check the box of "chart output". Once done, the "moving average" will be displayed along with the chart.
CAREERS IN CHEMISTRY– Degree,Healthcare Scientist,Engineering firms,Laboratory Jobs
 
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CAREERS IN CHEMISTRY.Go through the career opportunities of CHEMISTRY, Govt jobs and Employment News channel from Freshersworld.com – The No.1 job portal for freshers in India. Visit http://www.freshersworld.com?src=Youtube for detailed Career information,Job Opportunities,Education details of CHEMISTRY. Chemistry as a subject provides insight about topics of concern that deal with the composition, properties, structure and most importantly, change of matter. When you first listen to the word chemistry, all you can think of is molecules and matters and structures. Chemistry as a subject paves way for much more than any of these mentioned. There is a major assumption that 'All chemists wear white coats'. In fact, it is the other way round! Here is a list of jobs that a student can attain to after having his/ her chemistry degree in hand: • Healthcare scientist, clinical biochemistry • Forensic scientist • Pharmacologist • Analytical chemist • Research scientist (physical sciences) • Toxicologist • Chemical engineer Also, there are a few options wherein this degree could be used in a more specific way: • Science writer • Higher education lecturer • Patent attorney • Chartered certified accountant • Environmental consultant • Secondary school teacher The skills which are absolutely required for a student having a chemistry degree in hand is to whilst bagging a job in need are: • analysis and problem-solving; • research skills • technical skills • quantitative skills • organizational skills • time management and organization; • written and oral communication; • monitoring/maintaining records and data; • teamwork; • IT and technology. Here is a list to as in who all employs chemistry graduates that would rather provide an insight to the career as such: • Consulting firms • Pharmaceutical companies • Museums • Engineering firms • Industrial inspection firms • Magazines and newspapers Cosmetics and fragrance production companies • Computers and telecommunications Government agencies • Fine and heavy chemical manufacturing companies • Food and beverage production companies • Mining and metallurgy companies • Law Firms • Oil and gas companies • Plastic manufacturing companies • Universities, colleges and schools • Hospitals & other medical organizations • Pulp and paper companies • Environment and pollution control firms Here is a list of colleges mastering in chemistry: Osmania PG College, Kurnool M S R S Siddardha Degree College Gayatri College of Science & Management Government Degree College (Men) Ramakrishna Mission Vivekananda College J & J College of Science Sheth L H Science College M G Science Institute Bhavan's R A College of Science Sir C R Reddy Autonomous College NIT Silchar NIT Surathkal NIT Rourkela NIT Jalandhar NIT Durgapur NIT Agartala Meenakshi College for Women Ethiraj College for Women Sri Venkateswara College St. Stephen’s College Hans Raj College Ramjas College Miranda House College Gargi College BITS Pilani MNIT Jaipur IIT Kharagpur IIT Bombay IIT Delhi IIT Guwahati IIT Kanpur IIT Madras NIT Warangal NIT Trichy KMC Delhi Acharya Narendra Dev College ISM Dhanbad IIT Roorkee There are thousands of ways in getting into a chemistry job. All you need to do is have patience and focus on the right direction. Patience and perseverance are the two roads to success, especially in chemistry. For more jobs & career information and daily job alerts, subscribe to our channel and support us. You can also install our Mobile app for govt jobs for getting regular notifications on your mobile. Freshersworld.com is the No.1 job portal for freshers jobs in India. Check Out website for more Jobs & Careers. http://www.freshersworld.com?src=Youtube - - ***Disclaimer: This is just a career guidance video for fresher candidates. The name, logo and properties mentioned in the video are proprietary property of the respective companies. The career and job information mentioned are an indicative generalised information. In no way Freshersworld.com, indulges into direct or indirect recruitment process of the respective companies.
VMD Tutorial for Beginners
 
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This VMD demonstration shows how to download a PDB file online and how to create various visual representations. This video is in support of the HHMI TIPS project (Beta Version).
Views: 59233 Vince Metzger
Big Data Meetup 23. Presentation by Krish on Data Mining - Part 1
 
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Data Mining - Techniques, Issues and Challenges - by Krish https://www.meetup.com/Mississauga-Big-Data-Analytics-Meetup https://kumarvn.wordpress.com/
Views: 30 Kumar VN
Install Data Analysis Addin in Excel
 
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Learn how to Install Data Analysis Addin in Excel to do some really amazing Data Analysis in Excel . To watch more videos and download the files visit http://www.myelesson.org To Buy a Excel Course DVD visit . https://www.instamojo.com/Devika/combo-pack-all-in-one-ms-excel-course-cd-in-/ 10 Most Used Formulas MS Excel https://www.youtube.com/watch?v=KyMj8HEBNAk Learn Basic Excel Skills For Beginners || Part 1 https://www.youtube.com/watch?v=3kNEv3s8TuA 10 Most Used Excel Formula https://www.youtube.com/watch?v=2t3FDi98GBk **Most Imporant Excel Formuls Tutorials** Learn Vlookup Formula For Beginners in Excel https://www.youtube.com/watch?v=vomClevScJQ 5 Excel Questions Asked in Job Interviews https://www.youtube.com/watch?v=7Iwx4AMdij8 Create Speedometer Chart In Excel https://www.youtube.com/watch?v=f6c93-fQlCs Learn the Basic of Excel for Beginners || Part 2 https://www.youtube.com/watch?v=qeMSV9T1PoI Create Pareto Chart In Excel https://www.youtube.com/watch?v=2UdajrDMjRE How to Create Dashboard in Excel https://www.youtube.com/watch?v=RM8T1eYBjQY Excel Interview Questions & Answers https://www.youtube.com/watch?v=Zjv1If63nGU
Views: 1186 My E-Lesson
Analyzing Data in Excel Online
 
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Learn how Excel Online promotes critical thinking and prepares students for the analytical processes they will experience in college and careers. Visit https://education.microsoft.com to find out more about online courses for educators.
Views: 6775 Microsoft Education
Tanagra Data Mining
 
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an "open source project" as every researcher can access to the source code, and add his own algorithms, as far as he agrees and conforms to the software distribution license.
Views: 14310 Emmanuel Felipe
Design of FIR Filter Using Reconfigurable MAC Unit||best vlsi projects at bangalore|trichy|pune
 
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Advanced Data Mining with Weka (1.1: Introduction)
 
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Image Analysis and Processing with R
 
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ASINSpector Pro Review Demo Bonus - Amazon eBay Shopify eCom Product Research Software
 
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Import Data, Copy Data from Excel to R CSV & TXT Files | R Tutorial 1.5 |MarinStatsLectures
 
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Diseases Associated with Pediatric IBD: Data Mining the HCUP KID Database with Association Analysis and Text Mining. By Linda Schumacher & Eric Robinson (Oklahoma State University)
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1.7.4 Susan Stephan- Datamining for Gold.mov
 
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This video series is made available from the Northern Kentucky University Law Review Symposium in conjunction with the NKU Chase Law & Informatics Institute. This collection of materials from the March1-2, 2012 provides a permanent collection of the exceptional presentations provided by the participants. This video features Susan Stephan on the topic of Dataming From the program abstract: "Datamining for Gold:Social Media and Social Capital in a Postnational Network Economy" Tools of social media are becoming the most prevalent venues for online content sharing and creation worldwide. The manner in which the online social interaction of individuals and groups is targeted through marketing based on Internet behavioral tracking, and use of the resulting data that is mined through tracking, ultimately can affect the way diverse groups of people perceive and interact with each other. Behavioral tracking online also has economic ramifications based on the end-use of mined data. As the enormous financial incentives to gain control of the globalized Internet society and its goldmine of data become obvious, the attempts at regulation and laws that control the environment become at the same time critical and overwhelming. The consequences of online regulations on the long-term well-being of the world economy are potentially endless. I will examine the small portion of the socio-legal significance of online member communities in the global market that relates to social and economic capital created by online networking and associated datamining. I also will briefly discuss a few trends of the developing laws of the Internet society in today's globalized environment. About the NKU Chase law & Informatics Institute: Formed in August 2011, the NKU Chase Law & Informatics Institute provides a critical interdisciplinary approach to the study, research, scholarship, and practical application of informatics, focusing on the regulation and utilization of information -- including its creation, acquisition, aggregation, security, manipulation and exploitation -- across all fields, such as intellectual property law, privacy law, evidence (regulating government and the police), health law, business law, and international law. Through academic and business partnerships, the Law & Informatics Institute will address the growing issues of law, ethics, security and privacy in the global, digital age
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