<?xml version="1.0" encoding="utf-8"?><feed xmlns="http://www.w3.org/2005/Atom" ><generator uri="https://jekyllrb.com/" version="3.9.0">Jekyll</generator><link href="https://mickeyfeliciano.github.io/feed.xml" rel="self" type="application/atom+xml" /><link href="https://mickeyfeliciano.github.io/" rel="alternate" type="text/html" /><updated>2021-05-10T22:55:25+00:00</updated><id>https://mickeyfeliciano.github.io/feed.xml</id><title type="html">Offical Portfolio of Ms. Feliciano</title><subtitle>Applied Data Science Portfolio</subtitle><author><name>Mickey Feliciano</name></author><entry><title type="html">Predictive Analytics: Coaches Salary Recommendation</title><link href="https://mickeyfeliciano.github.io/SalaryPrediction/" rel="alternate" type="text/html" title="Predictive Analytics: Coaches Salary Recommendation" /><published>2021-05-01T00:00:00+00:00</published><updated>2021-05-01T00:00:00+00:00</updated><id>https://mickeyfeliciano.github.io/SalaryPrediction</id><content type="html" xml:base="https://mickeyfeliciano.github.io/SalaryPrediction/">&lt;p&gt;Providing salary recommendations for NCAA Football coaches using predictive modeling.&lt;/p&gt;</content><author><name>Mickey Feliciano</name></author><category term="Big Data Analytics" /><category term="Predictive Analytics" /><category term="Multiple Linear Regression" /><category term="Python" /><category term="Machine Learning" /><category term="Sports" /><summary type="html">Providing salary recommendations for NCAA Football coaches using predictive modeling.</summary></entry><entry><title type="html">The Project About Nothing (Seinfeld Script Analysis)</title><link href="https://mickeyfeliciano.github.io/SeinfeldAnalysis/" rel="alternate" type="text/html" title="The Project About Nothing (Seinfeld Script Analysis)" /><published>2021-03-29T00:00:00+00:00</published><updated>2021-03-29T00:00:00+00:00</updated><id>https://mickeyfeliciano.github.io/SeinfeldAnalysis</id><content type="html" xml:base="https://mickeyfeliciano.github.io/SeinfeldAnalysis/">&lt;p&gt;Text mining group project analyzing the iconic TV series, Seinfeld.&lt;/p&gt;</content><author><name>Mickey Feliciano</name></author><category term="Text Mining" /><category term="Text Analytics" /><category term="Python" /><category term="Machine Learning" /><summary type="html">Text mining group project analyzing the iconic TV series, Seinfeld.</summary></entry><entry><title type="html">Text Classification Using Customer Reviews</title><link href="https://mickeyfeliciano.github.io/TextClassification/" rel="alternate" type="text/html" title="Text Classification Using Customer Reviews" /><published>2021-02-11T00:00:00+00:00</published><updated>2021-02-11T00:00:00+00:00</updated><id>https://mickeyfeliciano.github.io/TextClassification</id><content type="html" xml:base="https://mickeyfeliciano.github.io/TextClassification/">&lt;p&gt;Predicting sentiment analysis and lie detection from online customer reviews using Multinomial Naive Bayes from the Sklearn package in Python.&lt;/p&gt;</content><author><name>Mickey Feliciano</name></author><category term="Text Classification" /><category term="Text Mining" /><category term="Multinomial Naive Bayes" /><category term="Sentiment Analysis" /><category term="Lie Detection" /><category term="Python" /><summary type="html">Predicting sentiment analysis and lie detection from online customer reviews using Multinomial Naive Bayes from the Sklearn package in Python.</summary></entry><entry><title type="html">Marketing Analytics: Customer Brand Perception</title><link href="https://mickeyfeliciano.github.io/BrandPerception/" rel="alternate" type="text/html" title="Marketing Analytics: Customer Brand Perception" /><published>2021-02-10T00:00:00+00:00</published><updated>2021-02-10T00:00:00+00:00</updated><id>https://mickeyfeliciano.github.io/BrandPerception</id><content type="html" xml:base="https://mickeyfeliciano.github.io/BrandPerception/">&lt;p&gt;Marketing analytics project using survey data to test brand perception and discover customer segmentation.&lt;/p&gt;</content><author><name>Mickey Feliciano</name></author><category term="Marketing Analytics" /><category term="Perceptual Mapping" /><category term="K-means Clustering" /><category term="Customer Segmentation" /><category term="Powerpoint" /><summary type="html">Marketing analytics project using survey data to test brand perception and discover customer segmentation.</summary></entry><entry><title type="html">Fudgemart, Inc. A Data Warehouse &amp;amp; Business Intelligence Project</title><link href="https://mickeyfeliciano.github.io/DataWarehouse/" rel="alternate" type="text/html" title="Fudgemart, Inc. A Data Warehouse &amp;amp; Business Intelligence Project" /><published>2020-12-12T00:00:00+00:00</published><updated>2020-12-12T00:00:00+00:00</updated><id>https://mickeyfeliciano.github.io/DataWarehouse</id><content type="html" xml:base="https://mickeyfeliciano.github.io/DataWarehouse/">&lt;p&gt;A final group project on data warehousing from conceptual models, to SQL scripting and data ETL procedures, concluding with business intelligence analyses.&lt;/p&gt;</content><author><name>Mickey Feliciano</name></author><category term="Data Warehouse" /><category term="Business Intelligence" /><category term="Power BI" /><category term="Excel" /><category term="SQL" /><category term="ETL" /><summary type="html">A final group project on data warehousing from conceptual models, to SQL scripting and data ETL procedures, concluding with business intelligence analyses.</summary></entry><entry><title type="html">Time Series Analysis</title><link href="https://mickeyfeliciano.github.io/TimeSeries/" rel="alternate" type="text/html" title="Time Series Analysis" /><published>2020-12-01T00:00:00+00:00</published><updated>2020-12-01T00:00:00+00:00</updated><id>https://mickeyfeliciano.github.io/TimeSeries</id><content type="html" xml:base="https://mickeyfeliciano.github.io/TimeSeries/">&lt;p&gt;An analysis using time series data.&lt;/p&gt;</content><author><name>Mickey Feliciano</name></author><category term="Statistics" /><category term="Time Series" /><category term="Bayesian Statistics" /><category term="Frequentist Statistics" /><category term="Repeated Measures ANOVA" /><category term="Changepoint Detection" /><category term="R" /><summary type="html">An analysis using time series data.</summary></entry><entry><title type="html">Logistic Regression</title><link href="https://mickeyfeliciano.github.io/Logit/" rel="alternate" type="text/html" title="Logistic Regression" /><published>2020-11-15T00:00:00+00:00</published><updated>2020-11-15T00:00:00+00:00</updated><id>https://mickeyfeliciano.github.io/Logit</id><content type="html" xml:base="https://mickeyfeliciano.github.io/Logit/">&lt;p&gt;Logistic regression exercises using R.&lt;/p&gt;</content><author><name>Mickey Feliciano</name></author><category term="Logistic Regression" /><category term="Generalized Linear Model" /><category term="Bayesian Statistics" /><category term="Frequentist Statistics" /><category term="R" /><summary type="html">Logistic regression exercises using R.</summary></entry><entry><title type="html">Multiple Regression</title><link href="https://mickeyfeliciano.github.io/MultipleRegression/" rel="alternate" type="text/html" title="Multiple Regression" /><published>2020-11-01T00:00:00+00:00</published><updated>2020-11-01T00:00:00+00:00</updated><id>https://mickeyfeliciano.github.io/MultipleRegression</id><content type="html" xml:base="https://mickeyfeliciano.github.io/MultipleRegression/">&lt;p&gt;Multiple regression exercises using R.&lt;/p&gt;</content><author><name>Mickey Feliciano</name></author><category term="Multiple Regression" /><category term="Linear Regression" /><category term="General Linear Model" /><category term="Bayesian Statistics" /><category term="Frequentist Statistics" /><category term="R" /><summary type="html">Multiple regression exercises using R.</summary></entry><entry><title type="html">ANOVA Analysis</title><link href="https://mickeyfeliciano.github.io/ANOVA/" rel="alternate" type="text/html" title="ANOVA Analysis" /><published>2020-10-15T00:00:00+00:00</published><updated>2020-10-15T00:00:00+00:00</updated><id>https://mickeyfeliciano.github.io/ANOVA</id><content type="html" xml:base="https://mickeyfeliciano.github.io/ANOVA/">&lt;p&gt;Analysis of variance exercises using R.&lt;/p&gt;</content><author><name>Mickey Feliciano</name></author><category term="ANOVA" /><category term="Statistics" /><category term="Bayesian Statistics" /><category term="Frequentist Statistics" /><category term="R" /><summary type="html">Analysis of variance exercises using R.</summary></entry><entry><title type="html">Correlation &amp;amp; Test of Independence</title><link href="https://mickeyfeliciano.github.io/Correlation/" rel="alternate" type="text/html" title="Correlation &amp;amp; Test of Independence" /><published>2020-10-07T00:00:00+00:00</published><updated>2020-10-07T00:00:00+00:00</updated><id>https://mickeyfeliciano.github.io/Correlation</id><content type="html" xml:base="https://mickeyfeliciano.github.io/Correlation/">&lt;p&gt;Correlation and test of independence exercises using R.&lt;/p&gt;</content><author><name>Mickey Feliciano</name></author><category term="Correlation" /><category term="Test of Independence" /><category term="Chi-sqaured test for Independence" /><category term="Bayesian Statistics" /><category term="Frequentist Statistics" /><category term="R" /><summary type="html">Correlation and test of independence exercises using R.</summary></entry></feed>