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      <title>Mind Mapping Kelompok N by Athoillah Sholahuddin</title>
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      <description>Dibuat dengan ♥</description>
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      <pubDate>2022-03-07 03:00:18 UTC</pubDate>
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         <title>Dataset UMKM (System Workflow)</title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080663070</link>
         <description><![CDATA[<div>Scope Task<br>1. Business Understanding &amp;&nbsp; Analytics Understanding : All Staff<br>2. Data Preprocessing : Athoillah Sholahuddin,&nbsp; Elsa Mardiyah<br>3. Modelling &amp; Implementation Model : Faiq Azmi, Jumina Cahyani, Ragil Prasetyo&nbsp;<br>4. Interpretation Result &amp; Evaluation : All Staff</div>]]></description>
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         <pubDate>2022-03-07 03:00:55 UTC</pubDate>
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         <title>Scenario</title>
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         <pubDate>2022-03-07 03:08:23 UTC</pubDate>
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         <title>Report</title>
         <author>athoilahsolah</author>
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         <pubDate>2022-03-07 03:08:36 UTC</pubDate>
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         <title>Data Preprocessing</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080676138</link>
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         <pubDate>2022-03-07 03:08:45 UTC</pubDate>
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         <title>Decisions </title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080676259</link>
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         <pubDate>2022-03-07 03:08:50 UTC</pubDate>
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         <title>Bussiness Understanding</title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080683789</link>
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         <pubDate>2022-03-07 03:13:40 UTC</pubDate>
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         <title>Data Cleaning</title>
         <author>juminacahyani16</author>
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         <pubDate>2022-03-07 03:15:28 UTC</pubDate>
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         <title>Analytic Understanding</title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080687963</link>
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         <pubDate>2022-03-07 03:16:33 UTC</pubDate>
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      <item>
         <title>Identify Essential Pattern</title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080691253</link>
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         <pubDate>2022-03-07 03:18:40 UTC</pubDate>
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         <title>Statistical Technique</title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080692323</link>
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         <pubDate>2022-03-07 03:19:23 UTC</pubDate>
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         <title>Uniformity Data</title>
         <author>faiqazmi123</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080693962</link>
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         <pubDate>2022-03-07 03:20:29 UTC</pubDate>
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      <item>
         <title>Exploratory Data Analysis (EDA)</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080694957</link>
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         <pubDate>2022-03-07 03:21:02 UTC</pubDate>
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         <title>Machine Learning Techniques</title>
         <author>athoilahsolah</author>
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         <pubDate>2022-03-07 03:21:17 UTC</pubDate>
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         <title>Feature Engineering</title>
         <author>juminacahyani16</author>
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         <pubDate>2022-03-07 03:21:50 UTC</pubDate>
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         <title>Data Splitting</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080696769</link>
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         <pubDate>2022-03-07 03:22:12 UTC</pubDate>
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      <item>
         <title>Interpretation</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080700954</link>
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         <pubDate>2022-03-07 03:24:53 UTC</pubDate>
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      <item>
         <title>Consistent Data</title>
         <author>faiqazmi123</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080701529</link>
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         <pubDate>2022-03-07 03:25:15 UTC</pubDate>
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      <item>
         <title>Modelling</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080701914</link>
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         <pubDate>2022-03-07 03:25:30 UTC</pubDate>
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      <item>
         <title>Feedback</title>
         <author>ragilprasetyo310</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080702536</link>
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         <pubDate>2022-03-07 03:25:54 UTC</pubDate>
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      <item>
         <title>Irrelevant Data</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080708154</link>
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         <pubDate>2022-03-07 03:29:28 UTC</pubDate>
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      <item>
         <title>Duplicate Data</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080709513</link>
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         <pubDate>2022-03-07 03:30:16 UTC</pubDate>
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      <item>
         <title>Convertion Data</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080709720</link>
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         <pubDate>2022-03-07 03:30:24 UTC</pubDate>
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      <item>
         <title>Data Inspection</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080711260</link>
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         <pubDate>2022-03-07 03:31:21 UTC</pubDate>
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         <title>Data Profiling</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080711698</link>
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         <pubDate>2022-03-07 03:31:40 UTC</pubDate>
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      <item>
         <title>Data Visualizing</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080712184</link>
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         <pubDate>2022-03-07 03:31:56 UTC</pubDate>
         <guid>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080712184</guid>
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      <item>
         <title>Packages Statistical in Python</title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080712866</link>
         <description><![CDATA[<div>Numpy, Pandas, Matplotlib, Seaborn ,Statsmodels, Scipy, Scikit-learn</div>]]></description>
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         <pubDate>2022-03-07 03:32:23 UTC</pubDate>
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      <item>
         <title>Statistical Summary</title>
         <author>juminacahyani16</author>
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         <pubDate>2022-03-07 03:33:09 UTC</pubDate>
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      <item>
         <title>Feature Extraction</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080715909</link>
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         <pubDate>2022-03-07 03:34:20 UTC</pubDate>
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      <item>
         <title>Feature Selection</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080716422</link>
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         <pubDate>2022-03-07 03:34:41 UTC</pubDate>
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      <item>
         <title>Feature Construction</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080717312</link>
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         <pubDate>2022-03-07 03:35:18 UTC</pubDate>
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      <item>
         <title>Feature Learning</title>
         <author>juminacahyani16</author>
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         <pubDate>2022-03-07 03:35:38 UTC</pubDate>
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      <item>
         <title>Measurement Statictical </title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080718076</link>
         <description><![CDATA[<div>Measures of central tendency,&nbsp; Measure of dispersion and&nbsp;<br>Correlation</div>]]></description>
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         <pubDate>2022-03-07 03:35:50 UTC</pubDate>
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      <item>
         <title>Holdout Method</title>
         <author>juminacahyani16</author>
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         <pubDate>2022-03-07 03:36:03 UTC</pubDate>
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      <item>
         <title>Insight</title>
         <author>ragilprasetyo310</author>
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         <pubDate>2022-03-07 03:36:28 UTC</pubDate>
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      <item>
         <title>Policy Decision</title>
         <author>ragilprasetyo310</author>
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         <pubDate>2022-03-07 03:36:50 UTC</pubDate>
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      <item>
         <title>Data Repair and Modification</title>
         <author>juminacahyani16</author>
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         <pubDate>2022-03-07 03:37:01 UTC</pubDate>
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      <item>
         <title>Standarization Data</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080721085</link>
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         <pubDate>2022-03-07 03:38:04 UTC</pubDate>
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      <item>
         <title>Fix Missing Data</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080721718</link>
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         <pubDate>2022-03-07 03:38:31 UTC</pubDate>
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         <title>Data Visualization on Statistical Technique</title>
         <author>athoilahsolah</author>
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         <pubDate>2022-03-07 03:38:51 UTC</pubDate>
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         <title>Transformation Data</title>
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         <pubDate>2022-03-07 03:38:56 UTC</pubDate>
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      <item>
         <title>Normalization Data</title>
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         <pubDate>2022-03-07 03:39:19 UTC</pubDate>
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      <item>
         <title>Cross Validation Method</title>
         <author>juminacahyani16</author>
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         <pubDate>2022-03-07 03:39:52 UTC</pubDate>
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      <item>
         <title>Training Set</title>
         <author>juminacahyani16</author>
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         <pubDate>2022-03-07 03:40:26 UTC</pubDate>
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         <title>Holdout Set</title>
         <author>juminacahyani16</author>
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         <pubDate>2022-03-07 03:40:45 UTC</pubDate>
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         <title>Training Data</title>
         <author>juminacahyani16</author>
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         <pubDate>2022-03-07 03:41:21 UTC</pubDate>
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         <title>Testing Data</title>
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         <pubDate>2022-03-07 03:41:40 UTC</pubDate>
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      <item>
         <title>Validation Data</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080726321</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 03:41:59 UTC</pubDate>
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      <item>
         <title>Leave One Out Cross Validation</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080727358</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 03:42:47 UTC</pubDate>
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      </item>
      <item>
         <title>Data Transformation</title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080727479</link>
         <description><![CDATA[<div>Regresi Linear Method</div>]]></description>
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         <pubDate>2022-03-07 03:42:53 UTC</pubDate>
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      <item>
         <title>K-Fold Cross Validation</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080728909</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 03:43:53 UTC</pubDate>
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      <item>
         <title>Stratified Cross-Validation</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080729806</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 03:44:30 UTC</pubDate>
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      </item>
      <item>
         <title>Data Manipulation</title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080736567</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 03:47:58 UTC</pubDate>
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      </item>
      <item>
         <title>Data Wrangling</title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080765580</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 03:54:21 UTC</pubDate>
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      </item>
      <item>
         <title>Dataframe or Series</title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080828365</link>
         <description><![CDATA[<div>- <strong>Indexing, Slicing, dan Transforming<br>- Handling Missing Values<br>- Pivot, Melt, Stack &amp; Unstack<br>- Aggregation &amp; GroupBy<br>- Time Series<br><br><br><br></strong><br></div>]]></description>
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         <pubDate>2022-03-07 04:12:33 UTC</pubDate>
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      </item>
      <item>
         <title>Descriptive Modelling</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080835829</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 04:18:03 UTC</pubDate>
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      </item>
      <item>
         <title>Mathematical Process</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080836503</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 04:18:33 UTC</pubDate>
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      <item>
         <title>Predictive Modelling</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080837589</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 04:19:26 UTC</pubDate>
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      </item>
      <item>
         <title>Data Mining</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080838077</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 04:19:52 UTC</pubDate>
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      <item>
         <title>Probability</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080838638</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 04:20:19 UTC</pubDate>
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      <item>
         <title>Training Model and Evaluation</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080839337</link>
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         <pubDate>2022-03-07 04:20:55 UTC</pubDate>
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      <item>
         <title>Training Model</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080839981</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 04:21:25 UTC</pubDate>
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      <item>
         <title>Evaluation Model</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080840350</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 04:21:44 UTC</pubDate>
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      <item>
         <title>Optimalization Model</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080840921</link>
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         <pubDate>2022-03-07 04:22:12 UTC</pubDate>
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      <item>
         <title>Implementation of Machine Learning Algorithm</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080912846</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 05:11:32 UTC</pubDate>
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      <item>
         <title>Training, Tuning and Evaluation</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080913465</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 05:11:57 UTC</pubDate>
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      </item>
      <item>
         <title>Confusion Matrix</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080916250</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 05:13:50 UTC</pubDate>
         <guid>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080916250</guid>
      </item>
      <item>
         <title>Curve ROC and AOC</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080916888</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 05:14:15 UTC</pubDate>
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      </item>
      <item>
         <title>Root Mean Square Error (RMSE)</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080917635</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 05:14:45 UTC</pubDate>
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      </item>
      <item>
         <title>R Square</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080918153</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 05:15:05 UTC</pubDate>
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      </item>
      <item>
         <title>Model Deployment</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080920524</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 05:16:27 UTC</pubDate>
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      </item>
      <item>
         <title>Performance Monitoring</title>
         <author>juminacahyani16</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080921902</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 05:17:19 UTC</pubDate>
         <guid>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080921902</guid>
      </item>
      <item>
         <title>Detailing Task </title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080986739</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 06:06:20 UTC</pubDate>
         <guid>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080986739</guid>
      </item>
      <item>
         <title>1. Business &amp; Analytics Understanding  </title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080993074</link>
         <description><![CDATA[<div>PIC : ALL STAFF<br>Working Method : Kanban Method <br><br><strong><mark>Bussiness Understanding<br></mark></strong>Prepare : Dataset From Client, Analyst Dataset<br>Analyst Requirment : Syncrounous conference<br>Scenario : How to Understanding of problem and Steps for problem solve (Preprocessing problem, Method or Techinque, and Visualization Problem), Design Thinking of Problem, Guide for steps of rules<br>Report : Result From Scenario<br>Decisions :&nbsp; rules for solution<br><strong><mark><br>Analytics Understanding <br></mark></strong>Data Wraling : The process of transforming raw data into a neater format. Prepare data during interactive data analysis and model building.<br>Statistical Impelementation : Application of statistics</div><blockquote>Tools : Python. <sub><sup>Library Python Numpy, Pandas, Matplotlib, Seaborn ,Statsmodels, Scipy, Scikit-learn</sup></sub></blockquote><div>Data Manipulation : The process of manipulating or changing information to make it more organized and readable.<br><br>Machine Learning Technique : Introduce implementation of Machine Learning (Optional : if the request requires a solution method of Machine Learning)</div><div><br><br></div><div><br><br><br></div><div><br><br><br><br><br><br><br></div>]]></description>
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         <pubDate>2022-03-07 06:11:31 UTC</pubDate>
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      <item>
         <title>2. Data Preprocessing </title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080994597</link>
         <description><![CDATA[<div>PIC : Athoillah Sholahuddin &amp; Elsa Mardhiyah<br>Working Method : Student Center Learn and Agile Method<br><br><strong><mark>Data Cleansing :&nbsp; </mark></strong>the process of fixing or removing incorrect, corrupted, incorrectly formatted, duplicate, or incomplete data within a dataset. When combining multiple data sources, there are many opportunities for data to be duplicated or mislabeled.<strong><mark><br>Exploratory Data Analysis (EDA) : </mark></strong>&nbsp;is the process of investigating the dataset to discover patterns, and anomalies (outliers), and form hypotheses based on our understanding of the dataset.<strong><mark><br>Feature Engineering : </mark></strong>Feature engineering is a machine learning technique that leverages data to create new variables that aren’t in the training set. It can produce new features for both supervised and unsupervised learning, with the goal of <strong>simplifying and speeding up data transformations</strong> while also <strong>enhancing model accuracy</strong>.<strong><mark><br>Data Splitting :  </mark></strong><strong>i</strong>s <strong>a process used to separate a given dataset into at least two subsets called 'training' (or 'calibration') and 'test' (or 'prediction')<br></strong><br><br><br><br><br></div>]]></description>
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         <pubDate>2022-03-07 06:12:50 UTC</pubDate>
         <guid>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080994597</guid>
      </item>
      <item>
         <title>3. Modelling &amp; Implementation Model </title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2080995846</link>
         <description><![CDATA[<div>PIC : Faiq Azmi, Jumina Cahyani &amp; Ragil Prasetyo<br>Working Method : Student Center Learn and Agile Method<br><br><strong><mark><br>Descriptive Modelling : </mark></strong>is <strong>a mathematical process that describes real-world events and the relationships between factors responsible for them</strong><br><strong><mark>Predictive Modelling : </mark></strong>&nbsp;<strong>the process of using known results to create, process, and validate a model that can be used to forecast future outcomes.</strong><strong><mark><br>Traning Model &amp; Evaluation :&nbsp;</mark></strong>are systematic frameworks for investigating and analyzing the effectiveness of <strong><em>training</em></strong> or <strong><em>learning</em></strong> journeys.</div>]]></description>
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         <pubDate>2022-03-07 06:13:48 UTC</pubDate>
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      </item>
      <item>
         <title>4. Interpretation Result &amp; Evaluation </title>
         <author>athoilahsolah</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2081001509</link>
         <description><![CDATA[<div>PIC : ALL STAFF<br>Working Method : Kanban Method&nbsp;<br><br><br>Result and Decision Making to Bussiness Case</div>]]></description>
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         <pubDate>2022-03-07 06:18:20 UTC</pubDate>
         <guid>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2081001509</guid>
      </item>
      <item>
         <title></title>
         <author>faiqazmi123</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2081069342</link>
         <description><![CDATA[<div>1. Data 1-942 kosong/tidak lengkap, yaitu data pada kolom :<br>&nbsp; &nbsp; - NOMOR KLBI<br>&nbsp; &nbsp; - NAMA PRODUK<br>&nbsp; &nbsp; - TAHUN DATA<br><br>2. Terdapat beberapa data yang di highlight dengan tulisan merah, seperti planet soccer, kedai narsis, dan lain-lain<br><br>3. Terdapat <em>missing value </em>pada Data IKM dari Sentra Industri Kecil Somber&nbsp; <br><br>4. Data pada kolom TENAGA KERJA tidak balance dengan kasus data laki-laki hanya terisi dari tahun 2020 hingga 2021 dan sisanya <em>missing value </em>dan untuk data perempuan lebih dominan terisi datanya<br><br></div>]]></description>
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         <pubDate>2022-03-07 07:11:46 UTC</pubDate>
         <guid>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2081069342</guid>
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      <item>
         <title>Question List</title>
         <author>faiqazmi123</author>
         <link>https://padlet.com/athoilahsolah/8y3hm8lqxv1o671y/wish/2081101856</link>
         <description><![CDATA[]]></description>
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         <pubDate>2022-03-07 07:32:39 UTC</pubDate>
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