- Contact Gopal Chandu for Physical Book Reading and Inland Letter Reading Space
- Contact Gopal Chandu for Physical Book Reading and Inland Letter Reading Space
- Contact Gopal Chandu for Physical Book Reading and Inland Letter Reading Space
- Contact Gopal Chandu for Physical Book Reading and Inland Letter Reading Space
- Contact Gopal Chandu for Physical Book Reading and Inland Letter Reading Space
- Contact Gopal Chandu for Physical Book Reading and Inland Letter Reading Space
- Contact Gopal Chandu for Physical Book Reading and Inland Letter Reading Space
- Contact Gopal Chandu for Physical Book Reading and Inland Letter Reading Space
- Contact Gopal Chandu for Physical Book Reading and Inland Letter Reading Space
- Contact Gopal Chandu for Physical Book Reading and Inland Letter Reading Space
- Contact Gopal Chandu for Physical Book Reading and Inland Letter Reading Space
Saturday, March 31, 2018
Indian Rupee - Smart talk by Prithviraj
Friday, March 30, 2018
Nana Patekar's Weird Questioning for Interview | Ab Tak Chhappan - Bolly...
Thursday, March 29, 2018
Ice MC - Easy (original video)
Daniel Bedingfield - If You're Not The One
Wednesday, March 28, 2018
Rockaankuthu Official Video Song HD || Premam || Nivin Pauly || Sai Pallavi
Tuesday, March 27, 2018
21 (2008) Movie Ben Campbell amazing answer
Gopal Chandu's House
A Special Hedgeye Webinar (Replay): What’s Killing Retail? The Big Winne...
Interview: What can I do with a Mathematics Degree?
Monday, March 26, 2018
Sama Blake - Sniper (Official Music Video)
Saturday, March 24, 2018
Shanti Hospital Kodakara
CIA - Ajipans Family Scene
Race. Flash vs Superman | Justice League
Entourage Movie CLIP - Turtle Fights Ronda (2015) Ronda Rousey Movie HD
Rango The Spirit of the West
Sia - Bird Set Free [Lyrics Video]
Friday, March 23, 2018
Ms. Dynamite - Dy-Na-Mi-Tee
T.I. - No Mediocre (Explicit) ft. Iggy Azalea
Thursday, March 22, 2018
Kattey - Ram Sampath, Bhanvari Devi, Hard Kaur - Coke Studio @ MTV Seas
Yennai Arindhaal - Title Track - Ajith Cop Version - HD
Wednesday, March 21, 2018
Craig David - Unbelievable (Official Video)
The Bourne Ultimatum (2/9) Movie CLIP - Ross and Waterloo (2007) HD
The Bourne Identity (2/10) Movie CLIP - No Papers (2002) HD
Unnai Pol Oruvan- A common Man
Amy Winehouse - Fuck Me Pumps
Ja Rule - Always On Time ft. Ashanti
50 Cent - Hustler's Ambition
GYM WILDLIFE
M.I.A. - Paper Planes
Kelis - Trick Me
AN ORDINARY MAN Trailer #2 NEW (2018) Ben Kingsley Thriller Movie HD
Sunday, March 18, 2018
Predictive Analytics
Overview
Welcome to the course “Predictive Analytics”!
Predictive Analytics is emerging as a competitive strategy across many sectors of business. It searches for patterns found in historical and transactional data to understand the factors associated with business/organizational problems. At an abstract level, "Predictive analytics can be seen as a set of tools with capability to predict future".
Professor U. Dinesh Kumar.
Hi,
Welcome to the course, "Predictive Analytics".
I will be discussing the course contents and the learning objectives of this course.
In the first section, I will be discussing "Introduction to Business Analytics."
The learning objectives of the first session are to understand business analytics, it's importance and how different companies are using business analytics to solve real life problems.
During second and third sections of the course, I will be discussing simple and multiple linear regression.
I will be using a case let, "Die Another Day Hospital", in which the hospital is interested in predicting the treatment cost of a patient at the time of admission.
During sections four and five, I will be discussing classifications problems and how techniques such as logistic regression, decision trees, and Naive Bayes algorithm.
In section four, I will be using Challenger Crash Data and German Credit Data from University of California, Irvine Machine Learning Database to demonstrate the use of logistic regression to solve classification problems.
In section five, I will be using decision trees to develop business rules that can be used in classification problem using German Credit Data.
I will be also discussing Naive Bayes algorithm to classify unstructured data using social media comments from a Bollywood movie.
In section six, I will be discussing forecasting techniques such as, moving average, exponential smoothing, and autoregressive models.
In this section, I will be using data on a demand for continental breakfast at "Die Another Day Hospital".
To understand the concepts better, we have created two fictitious characters, Dude and Nerd.
They will be asking questions during the lecture.
Dude and Nerd will also be part of the discussion forum.
I hope you will enjoy this course.
Also, I would like to advise you to brush up concepts such as, normal distribution and hypothesis testing, before starting this course.
Objective
At the end of this course, you will be able to:
Understand the emergence of predictive analytics as a competitive strategy.
Analyze data using statistical techniques.
Understand relationships between the underlying business processes of an organization.
Develop predictive models using Microsoft Excel / Statistical Package for the Social Sciences (SPSS) / R / Statistical Analysis System (SAS).
Interpret the model output to make business decisions.
Predictive Analytics Teaser:
Librarian: Hi
Student: Hello
Librarian: Are you looking for Econometrics?
Student: Yes
Librarian: Author?
Student: It's Damodar Modi
Librarian: There is no such author
You mean to say Damodhar Gujarathi?
Student: Yeah, that one!
Librarian: In that case, you have to check column 2 rack 4 and one copy left.
Student: Wow, great!
Thanks.
(After collecting all the books the student approaches the front desk)
Librarian: May I help you?
Student: Wow! You again! Well, I would like to borrow these books
Librarian: Your username
Student: Uh, It's Vigneshsr.
Librarian: No
Student: Well, it's srv.
Librarian: Is it chotabheem?
Librarian: Fine, Registration Number?
Student: It's BI89.
Librarian: Your username is vignesh89.
Student: Wow, I am in!
Librarian: Based on your limit, you are not supposed to take more than 3 books.
Student: Oh is it?
Then I will go for
Librarian: I suggest you take a book by professor Dinesh because you are likely to read that book.
Student: Well, Certainly.
Librarian: I suggest you take a book on econometrics, because your assignment deadline is nearing.
Student: Oh, is it?
Thanks for reminding.
Librarian: Fine you got two books left - one on music and one on stats.
Student: Ofcourse, I will go for music.
Librarian: Good, but i suggest that you spend more on academics because if you continue to spend more on extracurricular you are likely to fail.
Student: Oh, is it?
Then I go for stats.
Librarian: Can you confirm these three.
Pay Rs 38.
Student: Why?
Librarian: Because you submitted the book after due date.
Librarian: Thank You and Congratulations!
Student: For what?
Librarian: Your results are out and you have cleared.
Student: Wow, that's great news!
How does he know everything about me?
Welcome to Predictive Analytics.
Welcome to the course “Predictive Analytics”!
Predictive Analytics is emerging as a competitive strategy across many sectors of business. It searches for patterns found in historical and transactional data to understand the factors associated with business/organizational problems. At an abstract level, "Predictive analytics can be seen as a set of tools with capability to predict future".
Professor U. Dinesh Kumar.
Hi,
Welcome to the course, "Predictive Analytics".
I will be discussing the course contents and the learning objectives of this course.
In the first section, I will be discussing "Introduction to Business Analytics."
The learning objectives of the first session are to understand business analytics, it's importance and how different companies are using business analytics to solve real life problems.
During second and third sections of the course, I will be discussing simple and multiple linear regression.
I will be using a case let, "Die Another Day Hospital", in which the hospital is interested in predicting the treatment cost of a patient at the time of admission.
During sections four and five, I will be discussing classifications problems and how techniques such as logistic regression, decision trees, and Naive Bayes algorithm.
In section four, I will be using Challenger Crash Data and German Credit Data from University of California, Irvine Machine Learning Database to demonstrate the use of logistic regression to solve classification problems.
In section five, I will be using decision trees to develop business rules that can be used in classification problem using German Credit Data.
I will be also discussing Naive Bayes algorithm to classify unstructured data using social media comments from a Bollywood movie.
In section six, I will be discussing forecasting techniques such as, moving average, exponential smoothing, and autoregressive models.
In this section, I will be using data on a demand for continental breakfast at "Die Another Day Hospital".
To understand the concepts better, we have created two fictitious characters, Dude and Nerd.
They will be asking questions during the lecture.
Dude and Nerd will also be part of the discussion forum.
I hope you will enjoy this course.
Also, I would like to advise you to brush up concepts such as, normal distribution and hypothesis testing, before starting this course.
Objective
At the end of this course, you will be able to:
Understand the emergence of predictive analytics as a competitive strategy.
Analyze data using statistical techniques.
Understand relationships between the underlying business processes of an organization.
Develop predictive models using Microsoft Excel / Statistical Package for the Social Sciences (SPSS) / R / Statistical Analysis System (SAS).
Interpret the model output to make business decisions.
Predictive Analytics Teaser:
Librarian: Hi
Student: Hello
Librarian: Are you looking for Econometrics?
Student: Yes
Librarian: Author?
Student: It's Damodar Modi
Librarian: There is no such author
You mean to say Damodhar Gujarathi?
Student: Yeah, that one!
Librarian: In that case, you have to check column 2 rack 4 and one copy left.
Student: Wow, great!
Thanks.
(After collecting all the books the student approaches the front desk)
Librarian: May I help you?
Student: Wow! You again! Well, I would like to borrow these books
Librarian: Your username
Student: Uh, It's Vigneshsr.
Librarian: No
Student: Well, it's srv.
Librarian: Is it chotabheem?
Librarian: Fine, Registration Number?
Student: It's BI89.
Librarian: Your username is vignesh89.
Student: Wow, I am in!
Librarian: Based on your limit, you are not supposed to take more than 3 books.
Student: Oh is it?
Then I will go for
Librarian: I suggest you take a book by professor Dinesh because you are likely to read that book.
Student: Well, Certainly.
Librarian: I suggest you take a book on econometrics, because your assignment deadline is nearing.
Student: Oh, is it?
Thanks for reminding.
Librarian: Fine you got two books left - one on music and one on stats.
Student: Ofcourse, I will go for music.
Librarian: Good, but i suggest that you spend more on academics because if you continue to spend more on extracurricular you are likely to fail.
Student: Oh, is it?
Then I go for stats.
Librarian: Can you confirm these three.
Pay Rs 38.
Student: Why?
Librarian: Because you submitted the book after due date.
Librarian: Thank You and Congratulations!
Student: For what?
Librarian: Your results are out and you have cleared.
Student: Wow, that's great news!
How does he know everything about me?
Welcome to Predictive Analytics.
Monday, March 12, 2018
Dredd - There's 10 of us and only 2 of you. Ishaan Mahipal and Jaanvi Mahipal
McCullough: Data Is Wrecking Macro Tourists
Saturday, March 10, 2018
Airport Suit Up Scene | Suicide Squad (2016) Movie Clip
Forrest Gump - Sweet Home Alabama
Tracy Chapman - "Talkin' About A Revolution" (Official Music Video)
Oscars® 2018 Highlights
ACϟDC - Thunderstruck [HD] Stiff Upper Lip Live (Munich)
Lukas Graham - 7 Years | The 2017 Nobel Peace Prize Concert
Friday, March 09, 2018
Independence Day (4/5) Movie CLIP - The President's Speech (1996) HD
25th Hour (2002) - Event Trading OEX Contracts [HD 1080p]
Thursday, March 08, 2018
The Front Bottoms Motorcycle ASL Music Video
The Front Bottoms Motorcycle ASL Music Video
Monday, March 05, 2018
The Untouchables (1/10) Movie CLIP - A Kind Word and a Gun (1987) HD
Sunday, March 04, 2018
Blues Brothers Diner Scene
Saturday, March 03, 2018
We Ask Kids How Trump is Doing
Mein zindagi ka saath nibhata chala gaya
Susan Boyle - Britains Got Talent 2009 Episode 1 - Saturday 11th April |...
Pardesi [Full Song] Dev D
"Right Here Right Now" - Bluffmaster (subtitles)
MACKLEMORE & RYAN LEWIS - THRIFT SHOP FEAT. WANZ (OFFICIAL VIDEO)
Friday, March 02, 2018
CHVRCHES - Cry Me A River (Justin Timberlake cover in the Live Lounge)
Thursday, March 01, 2018
Sia - Unstoppable
Aaliyah - Try Again (Official Music Video) ft. Timbaland
The Black Eyed Peas - #WHERESTHELOVE ft. The World
Aamir(mehfooz) | Full song | High Quality
Aamir(mehfooz) | Full song | High Quality
Panjabi MC - Mundian To Bach Ke
THE DICTATOR theme song - Aladeen mother fucker
sicario first briefing & explanation
Aadukalam - Otha Sollaala (Do this when you are 30)
50 Cent - In Da Club (MTV Version)
Theeran Adhigaaram Ondru Theatrical Trailer | Theeran Adhigaaram Ondru |...
the story of kaveri (and every river everywhere) - kodava takk
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