Videos uploaded by user “Gopal Malakar”

It Explains Random Forest Method in a very simple and pictorial way
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Read in great detail along with Excel output, computation and R code
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https://www.udemy.com/decision-tree-theory-application-and-modeling-using-r/?couponCode=Ad_Try_01

Views: 116416
Gopal Malakar

- What is a traveling sales man problem
- why it is computationally difficult?

Views: 9351
Gopal Malakar

Introduction to Support Vector Machine (SVM)
Support vectors
Complexity of SVM
Introduction to Kernel trick
Demo of kernel trick – using Excel
the link to the excel file --https://drive.google.com/open?id=0Byo-GmbU7XciMUtJalFMUnlDRnM

Views: 33220
Gopal Malakar

See Basel III vs Basel III side by side. Know what is extra in Basel 3 in comparison of Basel 2.
Read in more detail (step by step explanation of Basel 1/ Basel 2 / Basel 3) - https://www.udemy.com/basel_norms_simplified/?couponCode=YOUTB_001

Views: 50628
Gopal Malakar

1. What is OLS (ordinary least square) estimate?
2. What is MLE (maximum likelihood estimate) estimate?
3. Scenarios where MLE estimate is same as OLS estimates
VSP Group, my partner program. Get connected! https://youpartnerwsp.com/en/join?62916

Views: 25010
Gopal Malakar

What is ant colony optimization algorithm?
How it is applied in case of Travelling salesman Problem (TSP)?
A concept demo – concept visualization : of ant colony optimization on TSP problem
Pseudo code of execution

Views: 18078
Gopal Malakar

Get Crystal clear understanding of Ordinal Logistic Regression.
To know step by step credit scoring, model design, multi collinearity treatment, variable selection, model validation etc, please refer to
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https://www.udemy.com/logistic-regression-credit-scoring-modelling-using-sas/?couponCode=YTB_001
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Views: 12249
Gopal Malakar

Get Crystal clear understanding of Multinomial Logistic Regression.
To know step by step credit scoring, model design, multi collinearity treatment, variable selection, model validation etc, please refer to
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https://www.udemy.com/logistic-regression-credit-scoring-modelling-using-sas/?couponCode=YTB_001
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Views: 20359
Gopal Malakar

See Basel I vs. Basel II side by side, What are the extra pillars of Basel 2. What are different risks that Basel I and Basel II addresses. What is the difference in approach of Basel II vs. Basel I
Read in more detail (step by step explanation of Basel 1/ Basel 2 / Basel 3) - https://www.udemy.com/basel_norms_simplified/?couponCode=YOUTB_001

Views: 32339
Gopal Malakar

After going through this video- you will know
What is Mahalanobis Distance?
Where it is used in linear discriminant analysis?
Issues with Euclidian distance
An intuitive understanding of Mahalanobis distance formula
How does it get rid of some of the issues of Euclidian distance?

Views: 25726
Gopal Malakar

- what is genetic algorithm
- Graphical explanation of how does it work?
- Simplistic explanation of chromosome , cross over, mutation, survival of fittest through .....Application into travelling sales man (TSP) problem
- Pseudo code for application of genetic algorithm for TSP
Some practical tips for getting good solution

Views: 18367
Gopal Malakar

What is stochastic process?
Is an observed series (say GDP) is really stochastic?
VSP Group, my partner program. Get connected! https://youpartnerwsp.com/en/join?62916

Views: 23866
Gopal Malakar

-Proc compare syntax
-A wonderful utility to compare datasets
-Proc compare example
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Learn step by step SAS programming
https://www.udemy.com/sas-programming-made-easy-with-examples/?couponCode=GP_TR_1
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Views: 2823
Gopal Malakar

1. What is MANOVA
2. Difference between MANOVA and ANOVA
3. NULL Hypothesis of MANOVA
4. Execution steps of MANOVA
5. MANOVA using R

Views: 8592
Gopal Malakar

where to apply which machine learning algorithm?
https://www.quora.com/How-do-you-choose-a-machine-learning-algorithm/answer/Gopal-Malakar?share=a1223d8f&srid=D80k
Library for machine learning data
https://archive.ics.uci.edu/ml/index.php
https://archive.ics.uci.edu/ml/datasets.html
I see some problem with above two links. So please refer to below link (which shows less datasets as of now)
http://mlr.cs.umass.edu/ml/datasets.html

Views: 1590
Gopal Malakar

Resource (Download Excel) from google drive link- https://drive.google.com/drive/folders/0Byo-GmbU7XciQTdOb0czOWVBTGc

Views: 5783
Gopal Malakar

-what is proc transpose
-how does it help
-different part of proc transpose syntax
-workout example of proc transpose
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Be comfortable at SAS programming
https://www.udemy.com/sas-programming-made-easy-with-examples/?couponCode=GP_TR_1
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Views: 3652
Gopal Malakar

SAS code you will learn the syntax,
To detect number of variables in a dataset
Create loop to run for all the variables of a dataset
Detect number of distinct categories for all variables
Pass a parameter to macro to make a condition for number of distinct categories
Run proc freq for some cases meeting above condition
Run univariate for numeric variables
How to put descriptive titles
SAS file https://drive.google.com/drive/folders/0Byo-GmbU7XciZU5IRlZENXVpSm8

Views: 5234
Gopal Malakar

Stationary Stochastic Process
What is stationary stochastic process?
Why the concept of stationary is important for forecasting?
Excel demo of Stationary Stochastic process
VSP Group, my partner program. Get connected! https://youpartnerwsp.com/en/join?62916

Views: 17515
Gopal Malakar

Cross Validation Concepts (
Hold out,
Out of time (OOT) validation,
K fold Validation and
All but one)

Views: 4521
Gopal Malakar

-Introduction to factor analysis
-Factor analysis vs Principal Component Analysis (PCA) side by side
Read in more details - https://www.udemy.com/principal-component-analysis-pca-and-factor-analysis/?couponCode=GP_TR_1

Views: 10278
Gopal Malakar

Learn : Application of analytics in the insurance industry. Agenda will be
-Customer lifecycle in insurance business
-Fundamental of insurance business
-Application of various analytics techniques along with the customer life cycle
1. Use of predictive analytics / supervised machine learning algorithms
2. Use of collaborative filtering etc.
Take a look at my other publications
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Learn R programming
https://www.udemy.com/introduction-to-r-programming-learn-r-syntax-by-example/?couponCode=DSC_01_01
Statistics by simulation
https://www.udemy.com/statistics-by-example/?couponCode=DSC_01_01
Logistic Regression
https://www.udemy.com/logistic-regression-workshop-using-r-step-by-step-modeling/?couponCode=DSC_01_01
PCA and Factor Analysis
https://www.udemy.com/principal-component-analysis-pca-and-factor-analysis/?couponCode=DSC_01_01
decision tree - CHAID - CART - Random Forest
https://www.udemy.com/decision-tree-theory-application-and-modeling-using-r/?couponCode=FB_DT_01
Cluster analysis
https://www.udemy.com/cluster-analysis-motivation-theory-practical-application/?couponCode=YTB
Neural Network
https://www.udemy.com/artificial-neural-networks-tutorial-theory-applications/?couponCode=GT_01_ANN

Views: 4571
Gopal Malakar

Views: 13978
Gopal Malakar

This is short tutorial for
What it is? (What do we mean by a cluster?)
How it is different from decision tree?
What is distance and linkage function?
What is hierarchical clustering?
What is scree plot & dendogram?
What is non hierarchical clustering (k-means)?
How to learn it in detail (step by step)?
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Read in great detail along with Excel output, computation and SAS code
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https://www.udemy.com/cluster-analysis-motivation-theory-practical-application/?couponCode=FB_CA_001

Views: 136815
Gopal Malakar

-How to define SAS array
-How to use it
-How does it help
Through a workout example
SAS code - https://drive.google.com/open?id=0Byo-GmbU7XciS1I3WFJ4Zzd6b2s

Views: 4187
Gopal Malakar

-What is a Poisson regression model
-Where it is applicable?
Assumption of Poisson Regression
Recap of Poisson distribution
Through Excel simulation - Why Poisson Regression model is called log linear model?
Process of developing Poisson Regression model.
Extension of Poisson regression – negative binomial, over dispersed Poisson model, zero inflated Poisson model
Solution using SAS / R – part 2
Download file, code, PDF
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https://drive.google.com/drive/folders/0Byo-GmbU7XcibW9EWDVDbXlNWkE?usp=sharing
My other publications
Learn R programming
https://www.udemy.com/introduction-to-r-programming-learn-r-syntax-by-example/?couponCode=DSC_01_01
Statistics by simulation
https://www.udemy.com/statistics-by-example/?couponCode=DSC_01_01
Logistic Regression
https://www.udemy.com/logistic-regression-workshop-using-r-step-by-step-modeling/?couponCode=DSC_01_01
PCA and Factor Analysis
https://www.udemy.com/principal-component-analysis-pca-and-factor-analysis/?couponCode=DSC_01_01
decision tree - CHAID - CART - Random Forest
https://www.udemy.com/decision-tree-theory-application-and-modeling-using-r/?couponCode=FB_DT_01
Cluster analysis
https://www.udemy.com/cluster-analysis-motivation-theory-practical-application/?couponCode=YTB
Neural Network
https://www.udemy.com/artificial-neural-networks-tutorial-theory-applications/?couponCode=GT_01_ANN

Views: 3814
Gopal Malakar

Learn to avoid
- Late payment charge (LPC),
- Over Limit Charge (OVL Fee)
- Over the counter fee in addition of
- Finance or Interest Charge

Views: 2078
Gopal Malakar

Arithmetic mean - it's advantage and disadvantage
VSP Group, my partner program. Get connected! https://youpartnerwsp.com/en/join?62916

Views: 6548
Gopal Malakar

In this tutorial, you will learn
-What is gradient boosting? Other name of same stuff is Gradient descent
-How does it work for
1. Numeric outcome - Regression problem
2. Categorical outcome – Classification problem
-Is it same as over grown decision tree?
-How it is different from random forest method?
__________________________
Please note - for categorical problem, I have shown ada boost example, which can be considered a special case of Gradient boosting. You can see Ada boost vs Gradient boosting here
________________________________
https://www.packtpub.com/mapt/book/big_data_and_business_intelligence/9781788295758/4/ch04lvl1sec34/comparison-between-adaboosting-versus-gradient-boosting

Views: 27832
Gopal Malakar

Demo of Random Walk Model with drift n deterministic trend
1. Eq of Random walk model with drift and deterministic trend
2. How to convert, above series, stationary
VSP Group, my partner program. Get connected! https://youpartnerwsp.com/en/join?62916

Views: 2544
Gopal Malakar

SAS code - you will learn the syntax,
To detect number of variables in a dataset
Create loop to run for all the variables of a dataset
Detect number of distinct categories for all variables
Pass a parameter to macro to make a condition for number of distinct categories
Run proc freq for some cases meeting above condition
Run univariate for numeric variables
How to put descriptive titles
SAS file https://drive.google.com/drive/folders/0Byo-GmbU7XciZU5IRlZENXVpSm8

Views: 5670
Gopal Malakar

- What is Digital Analytics?
- What purpose it serves?
- What is it's main objectives?
- Example of Digital Analytics
You can say it is all about
1. What you can do to help customer
2. What can you do to optimize your internal process
3. What Can you do to help your suppliers
VSP Group, my partner program. Get connected! https://youpartnerwsp.com/en/join?62916

Views: 2917
Gopal Malakar

Also understand, how to interpret the output.
A specially design course on Data Analysis Toolpak / Solver / Goal seek is on the link below
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https://www.udemy.com/data-analysis-statistical-optimization-using-ms-excel/?couponCode=PR_TR_1
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Views: 4789
Gopal Malakar

Step by step detail with example of Principal Component Analysis PCA
Read in more details - https://www.udemy.com/principal-component-analysis-pca-and-factor-analysis/?couponCode=GP_TR_1
Also if you just want to understand it high level without mathematics, you can refer to this link https://www.youtube.com/watch?v=8BKFd9izEXM

Views: 115731
Gopal Malakar

Click here for in depth study with quiz / workout - https://www.udemy.com/decision-tree-theory-application-and-modeling-using-r/?couponCode=YOU_DT_0

Views: 1829
Gopal Malakar

Download file, code, PDF
----------------------------
https://drive.google.com/drive/folders/0Byo-GmbU7XcibW9EWDVDbXlNWkE?usp=sharing
My other publications
Learn R programming
https://www.udemy.com/introduction-to-r-programming-learn-r-syntax-by-example/?couponCode=DSC_01_01
Statistics by simulation
https://www.udemy.com/statistics-by-example/?couponCode=DSC_01_01
Logistic Regression
https://www.udemy.com/logistic-regression-workshop-using-r-step-by-step-modeling/?couponCode=DSC_01_01
PCA and Factor Analysis
https://www.udemy.com/principal-component-analysis-pca-and-factor-analysis/?couponCode=DSC_01_01
decision tree - CHAID - CART - Random Forest
https://www.udemy.com/decision-tree-theory-application-and-modeling-using-r/?couponCode=FB_DT_01
Cluster analysis
https://www.udemy.com/cluster-analysis-motivation-theory-practical-application/?couponCode=YTB
Neural Network
https://www.udemy.com/artificial-neural-networks-tutorial-theory-applications/?couponCode=GT_01_ANN

Views: 4516
Gopal Malakar

SAS file - you will learn the syntax,
To detect number of variables in a dataset
Create loop to run for all the variables of a dataset
Detect number of distinct categories for all variables
Pass a parameter to macro to make a condition for number of distinct categories
Run proc freq for some cases meeting above condition
Run univariate for numeric variables
How to put descriptive titles
SAS file https://drive.google.com/drive/folders/0Byo-GmbU7XciZU5IRlZENXVpSm8

Views: 3305
Gopal Malakar

Deterministic trend vs. Stochastic trend. Which is more volatile and why
VSP Group, my partner program. Get connected! https://youpartnerwsp.com/en/join?62916

Views: 10162
Gopal Malakar

Click here for in depth study with quiz / workout - https://www.udemy.com/decision-tree-theory-application-and-modeling-using-r/?couponCode=YOU_DT_0

Views: 15279
Gopal Malakar

In this tutorial, you will learn about
• What is the content of big data track vs data science track
• Salary and effort trends - 2:38 minute
• Explanation of some term you learn in big data tracks (4:03 minute) like
o Map reduce
o Zoo keeper
o HDFS
o Name node
o Flume / Scoop
o Hive / Pig
o R Hadoop / Mahaout
• Explanation of some term you learn in data science tracks (8:00 minute) like
o Usage of SAS / R / Python – and how you should learn it
o Curriculum for basic statistics and how you should learn it
o Supervised learning : predictive modelling –
Classification tree
Regression Tree
Logistic Regression
o Unsupervised learning – cluster analysis (k-means)
• Three kind of curriculum for machine learning (13:56 minute)
o Mathematical
o Overview (industrial set up)
o In depth (industrial set up)
• Time required for the curriculum (18:23 minute)
My online course links
--------------------------
Learn R programming
https://www.udemy.com/introduction-to-r-programming-learn-r-syntax-by-example/?couponCode=DSC_01_01
Statistics by simulation
https://www.udemy.com/statistics-by-example/?couponCode=DSC_01_01
Logistic Regression
https://www.udemy.com/logistic-regression-workshop-using-r-step-by-step-modeling/?couponCode=DSC_01_01
PCA and Factor Analysis
https://www.udemy.com/principal-component-analysis-pca-and-factor-analysis/?couponCode=DSC_01_01
decision tree - CHAID - CART - Random Forest
https://www.udemy.com/decision-tree-theory-application-and-modeling-using-r/?couponCode=FB_DT_01
Cluster analysis
https://www.udemy.com/cluster-analysis-motivation-theory-practical-application/?couponCode=YTB
Neural Network
https://www.udemy.com/artificial-neural-networks-tutorial-theory-applications/?couponCode=GT_01_ANN

Views: 7130
Gopal Malakar

Building data science competency requires you to become comfortable with four aspects of data science
1. Execution skills – like using SAS / R / Excel ect.
2. Basic statistics
3. Machine learning techniques. You must know at least
a. supervised machine learning techniques for
i. binary outcome (classification tree / logistic regression),
ii. numeric outcome (linear regression / regression tree)
b. As well as unsupervised machine learning techniques like cluster analysis
4. Domain Knowledge / Business scenario understanding
The tutorial will throw light on how to build competency on these aspects.
Regards
Summary PDF with link - https://drive.google.com/open?id=1qydKfBwPx0ehoU9JmQ-YmVByfQI4V91C
Complete PDF with link - https://drive.google.com/open?id=1NcflxuprQCnoeNHG-NG6bCe2XNP-GWBQ

Views: 3870
Gopal Malakar

Model fit statistics
1. R-square and adjusted R-square?
2. Why do we need adjusted R-square?
3. What are other similar statistics (like AIC, SC)
4. When to choose which statistics?
VSP Group, my partner program. Get connected! https://youpartnerwsp.com/en/join?62916

Views: 4873
Gopal Malakar

How does an autonomous car (driverless car ) work?
What is reinforcement learning
How does a driverless car work?

Views: 916
Gopal Malakar

Impact of reject inference. How good is your TTD model

Views: 478
Gopal Malakar

1. Basic Multiplicative Model (TCSI)
2. What are different components like Trend component, cyclic component, seasonal component etc?
3. How to calculate different component in a given series using excel
4. How to forecast using TCSI model (step by step in excel)
VSP Group, my partner program. Get connected! https://youpartnerwsp.com/en/join?62916

Views: 11481
Gopal Malakar

Principal component analysis aims to
1. summarize data with many independent variables to a smaller set of derived variables
2. In such a way, that first component has maximum variance, followed by second, followed by third and so on
3. The covariance of any of the component with any other component is zero
VSP Group, my partner program. Get connected! https://youpartnerwsp.com/en/join?62916

Views: 39166
Gopal Malakar

Logistic Regression Modelling - what it is? What are the steps? How can you learn it step by step on my course on udemy.com?
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Read in great detail along with Excel output, computation and SAS code
----------------------------------
https://www.udemy.com/logistic-regression-credit-scoring-modelling-using-sas/?couponCode=YOUT_001

Views: 24072
Gopal Malakar

Learn dummy variable regression / ANOVA / ANCOVA etc.
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https://www.udemy.com/dummy-variable-regression-and-conjoint-analysis-using-r/?couponCode=YTB_CJ_001
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Views: 1353
Gopal Malakar

- How to download Anaconda Distribution
- Anaconda distribution loads Spyder / Pyhton etc

Views: 5477
Gopal Malakar

Here!

Here!

Here!

Football france direct video chat

© 2019 How to start mobile phone business

Divide and Conquer. This is another area that is very industry-dependent, but it is highly unlikely that any company can afford to have an entire contract team devoted to managing one portfolio. More than likely, it is more realistic to divvy up the team and the contracts so that there is a leader for each relevant sphere. The entire team will obviously have to coordinate and communicate, but resources must be allocated in the most efficient manner possible. In turn, this will allow for several individuals to keep an eye on a smaller batch of contracts, thereby facilitating those periodic reviews. Outsource the Tedium to Technology.