Difference between revisions of "ANLY482 AY2017-18T2 Group06 Project Overview"
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==<div style="background: #708090; line-height: 0.5em; font-family:'Century Gothic'; border-left: #2E5593 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF">METHODOLOGY</font></div></div>== | ==<div style="background: #708090; line-height: 0.5em; font-family:'Century Gothic'; border-left: #2E5593 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF">METHODOLOGY</font></div></div>== | ||
===<div style="font-family:'Century Gothic';">Exploratory Segment</div>=== | ===<div style="font-family:'Century Gothic';">Exploratory Segment</div>=== | ||
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| + | ====<p>1. Data Collection </p>==== | ||
| + | At the initial phases of data collection, we must ensure that we have the sufficient fields that are needed for modelling later on. <br> | ||
| + | 2. Data Cleaning + Transformation <br> | ||
| + | In the data cleaning and transformation phase, the data will be tweaked into necessary statistical and analytics parameters necessary for prediction later. <br> | ||
| + | 3. Initial Data Exploration <br> | ||
| + | In this area, the data will be initially explored and determining the approach of modelling to be taken based on the nature of the dataset. Necessary preparations such as checking for multicollinearity of the variables will be taken into consideration before modelling of the variables will be done. Due to the nature of our dataset, careful data exploration must be done. | ||
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| + | </div> | ||
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==<div style="background: #708090; line-height: 0.5em; font-family:'Century Gothic'; border-left: #2E5593 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF">REFERENCES</font></div></div>== | ==<div style="background: #708090; line-height: 0.5em; font-family:'Century Gothic'; border-left: #2E5593 solid 15px;"><div style="border-left: #FFFFFF solid 5px; padding:15px;font-size:15px;"><font color= "#F2F1EF">REFERENCES</font></div></div>== | ||
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Revision as of 16:49, 6 January 2018
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SPONSOR BACKGROUND
MOTIVATION
OBJECTIVES
METHODOLOGY
Exploratory Segment
1. Data Collection
At the initial phases of data collection, we must ensure that we have the sufficient fields that are needed for modelling later on.
2. Data Cleaning + Transformation
In the data cleaning and transformation phase, the data will be tweaked into necessary statistical and analytics parameters necessary for prediction later.
3. Initial Data Exploration
In this area, the data will be initially explored and determining the approach of modelling to be taken based on the nature of the dataset. Necessary preparations such as checking for multicollinearity of the variables will be taken into consideration before modelling of the variables will be done. Due to the nature of our dataset, careful data exploration must be done.
