Car experts, please i need more opinion ooo

enas24:
I have used this Modern in the past but not the hatchback. Beware of sensor problem. The original sensor is hard to get.

Thank you for your response. Is it generally a good car( like maintenance easy to manage)

Hi experts, I am about to buy Nissan primers 2005(space wagon)
I will like to hear from experts. And what I will need to watch out for if I buy it.

Simply put sirs, I want a nija review of the car.

Thanks all

Get the Analytics Experience from industry experts and trusted instructors who can slice and dice analytics beyond the theories and take you from the known to the unknown. This training is highly practical and is well suited for all professionals.

Visit http://pragmaticacademy.com/bap/ for more details.

This course is for Executives, Marketing managers, Business and Data analysts as well as other professionals who require to use data to provide insights and to make informed decisions. The course covers the skills that are required to develop predictive modeling (decision tree, regression, and neural network models) and pattern discovery (segmentation, association, and sequence analyses)

Participants do not need to be a programmer as all models will be built using Visual programming ( a work flow processes using the rich tool set of KNIME and SAS Enterprise Miner).

Participants will learn how to

use analytics to solve real world business issues.

build predictive models such as decision trees and regression models, neural networks and random forest a.nd their application to solving real world problems
Understand and interprete complex models apply to real life business situations.

Participants will be divided into groups and solve a real world business process in any of banking, telecoms, retail, HR etc in order to qualify for certification.

Contact: Oladapo Ifeoluwa 08067096726
email: ife@knozeconsulting.com
Location: Ikeja Lagos

INTRODUCTION
While there have been several delinquencies in the responds of loan applicants, The traditional
methods of making loan decision is gradually fading out as predictive analytics (application
scoring, behavioral scoring and collection scoring) are gradually replacing traditional way ants.

In light of this, I want to demonstrate how to predict whether a loan applicant will default or not
using: SAS Enterprise Miner.

THE MODELLING STRATEGY
THE PROJECT PROCESS

1. BUSINESS OBJECTIVE/UNDERSTANDING
A Micro finance bank Institution, who offers loan credits to its customers using traditional
scoring method. In recent years, the company has given several applicants loans and many of
these accepted applicants have defaulted on their loans. Based on the datasets collected from the
past applicant, the institution wants me to build a model to predict whether an applicant will
default using Predictive Analytics

2. DATA UNDERSTANDING
Data Source: The data used contained 13 variables where 12 variables are the predictor such
as geographic, demographic and financial variables, the target variable indicate whether a
customer defaulted on the loan. The dataset had earlier been converted to a sas dataset, so the
data node was dragged into the workflow from the “data source”

Data Visualization: In order to understand the data very well, I used “graph explore” so as
to investigate each variables across each records some descriptive analysis ( mean, median,
Normal distribution, check for missing values).

3. DATA PREPARATION

Data Partitioning: “Data partition” node was used to split the data into 3 different smaller set
in the following ratio 40:30:30 . The training sample (30%) was used to build the various
models, validation sample (30%) was used to fine tune the model built and a test sample
(remaining 30%) was used for final assessment

Data Transformation: This includes the data preparation process such as dealing with missing
value, removing non-normality and applying variable reduction techniques for some models to
perform very well, all these were performed using “Transform Variables”“impute” “Variable
selection” nodes

4. MODELLING
ILLUSTRATION OF MODELS

Models: To stage a very effective model, I decided to make use of four data mining techniques;
“Regression” “Neural Network” and “Decision Tree” nodes

Regression with “imput”: I consider modeling directly after fixing the missing values problem
based on “imputed dataset” so as to improve the performance of the regression model

Regression2 with “interactive binning”: I considered building another regression model based
on “transformed variable” and “interactive Binning” this is expected to have a better
performance compared to the first regression model.

Decision Tree: Tree models will handle missing values differently than regression models, that’s
why its connected directly to “data partition” node directly Model Comparison

Neural Network: The final method considered was “Neural network” so as to compare how well
a neural network model compares to the regression and the decision tree model

5. MODEL EVALUATION

Using “Model Comparison node” The outcome of each of the models were compared in terms of
accuracy and prediction power in order to select the one with the best performance. The result
showed that Regression2 had the best performance with more 90% accuracy in terms of
classification rate

Note: some other factors aside from classification accuracy were considered before arriving at
the best performing model. Such as lift curve graphs, confusion matrix etc.

6. MODEL DEPLOYMENT FOR PREDICTION

Note: Data Mining project is not yet complete until the model built is deployed in an operational
environment. Therefore in order to predict the applicants that will default loan payments, the
model built was applied on a new datasets with similar variables.

The "Score" node scores the new datasets, while the "Reporter" node gives a full report of the
whole process and result in a pdf format

CONCLUSION AND RECOMMENDATION
This model will be able to identify the right applicant, thereby minimizing the likelihood of loan
delinquencies among the recipient of loans, because the applicant that will be granted loan will
be based on predicted cut-offs by the new score card.

Thankew score card.

Thanks for reading through…
Oladapo Ifeoluwa(2348067096726)
ifeoluwa.oladapo@gmail.com

https://www./model-built-predict-whether-loan-applicant-default-david-ifeoluwa?trk=hp-feed-article-title-publish

From the softwares you talked about, its only IBM spss modeller that does the work of analytics and big data... Other softwares that you mentioned are statistical softwares and can not be used in place of analytical softwares such as SAS,R, python, KNINE, RApid Miner, powerBI etc... Its good to want to know about data analytics as its termed the sexiest 21st century job.

For more information call:08067096726 I will be willing to send you some materials to equip your knowledge.

2016 is fast moving as expected, while "Analytics" is fast growing as the sexiest profession in the world... Make the right decision today and help us share until it gets to "THOSE WHO WANTS TO KNOW"

Demand

The modern information technology environment generates massive amounts of data (often referred to as "Big Data" from transactions, business interactions, social exchanges and sensors. With continued innovation revolving around digital technologies, the Internet and mobile computing, the amount of data continues to grow exponentially. At this rate, there will soon be a shortage of talented analysts who can help organizations work with this much big data. McKinsey Global Institute’s Big data: The next frontier for innovation, competition, and productivity estimates that by 2018, “the United States alone could face a shortage of 140,000 to 190,000 people with deep analytical skills as well as 1.5 million managers and analysts with the know-how to use the analysis of big data to make effective decisions.” Learn more about demand.

EXPERTS who had undergone quality training in Business Analytics will help develop the deep quantitative capabilities and technical expertise to create business and social value by extracting useful insights and applying them in a variety of career settings, as illustrated by The Age of Big Data, in The New York Times. Some application areas include market basket analysis, consumer behavior, social network and sentiment analysis, recommendation systems, fraud and crime detection, healthcare delivery, healthcare fraud, health sciences (e.g. genomics), supply chain, finance, cyber security, libraries and network security. Companies like Walmart, HP, Deloitte Consulting, and Chevron, all of whom are heavy users of data analytics, have expressed an interest in hiring to meet this need.

The Right Training

The Konnectedx.com 6 weekends offline training class in Lagos mainland will provides a strong foundation in data analytics by bringing together a diverse body of knowledge from applied statistics, Churn Analayis, fraud detection, consumer behavior, risk management, operations research and decision theory. Instructor will use this training to solve real problems in finance, marketing, accounting, and scientific applications.

Components of Business Analytics

1. Descriptive analytics

•Communicates the hidden facts and trends in the data
•Simple analysis of data can lead to business practices that result in financial rewards
•Helps SMEs uncover inefficiencies and eliminate them

2. Predictive analytics

•Predicts the probability of occurrence of a future event
•Helps organizations to plan their future course of action
•Most frequently used type of analytics across several industries

3. Prescriptive analytics


•Assists users in finding the optimal solution to a problem
•In most cases, provides an optimal solution/decision to the problem
•Inventory management is one of the problems that are most frequently addressed.

All these three component of Business Analytics will be well discussed using real time data

for more details visit: www.konnectedx.org or call: 08067096726

As a certified SAS programmer, with over 5years experience in data analysis i recommend to everyone who's willing to explore the world of data analytics to please leatrn bith SAS and R beecause;
R Programming is one of the fastest growing statistical languages and is highly extensible proving variety of statistical and graphical techniques and SAS is the leading software in business analytics and helps you improve your performance at a much faster rate.
Using SAS with R makes your business easier and scales information for different processors to work simultaneously.

Oladapo David ifeoluwa
Analytics Consultant
M.Sc B.Sc (Statistics)
Certified SAS Programmer (USA)

To stay competitive in the tech industry,never stop learning. Always be on the lookout for better ways of doing things and new technologies.
To as many persons that has been in search of a certified SAS9 Base programmer to train them and prepare them for the certification, exam of SAS9 Base (statistical Analysis System). there is going to be a three weekends training, for interested persons. commencing on December 6 to December 21
.....
Call: call ifeoluwa: 08067096726,08056986850
Or
Ifeoluwa.oladapo@gmail.com

As a certified sas9 base programmer, have enjoyed the benefit a lot. Virtually all the banks uses sas., just that there is no department for it. So they take it out on a contract basis to some few companies to help them do it. So those ffew companies are the ones employing sas professionals e.g resourcery, hagof etc. Also, as a professional, you can create your chances too and start consulting for companies....... ( Ifeoluwa 08067096726)

Unad/eksu are yet to say anything about it ooo.... We only heard rumor that we will get latest on saturday. Without pasting the posting....

Guys, please am intending to go to market this week, but not sure of important tings which i need... Can u please help me out

Guys, can start reminding ourselves what we need to carry along to camp as it gets close to us..... Forth night from her, we don know our serving states ooo

While i was still rejoicing that my number was part of just 201 people dat were mobilized from my school, somebody said that the corps members allowance had been increased to 35,000 naira taking effect from bactch A.... Could this be true