Agoons20
A data enthusiast passionate about data driven decision making. This portfolio consist of projects done for academic, self-learning and hobby purposes
Washington DC
Pinned Repositories
2019_R_Projects
Projects Done during the Data Science and Business Analytics Program Offered By Great Learning In Partnership with UTX at Austin
Portfolio-Mgmt-And-Machine-Learning-in-Finance
Investment Analysis and Asset Mgmt, Time Series Analysis & Forecasting, Machine Learning in Finance & Causal Inference Methods
SQL--Bounced_Email_Deactivation
ETL process: This script identifies Bounced emails to be deactivated and finds the next preferred email for a person or constituent based on company's business rule in order to clean up the database and improve the effectiveness of solicitation by ensuring accurate contact information.
Text_Mining_in_R
The projects here demonstrate how a textual corpus is prepared for analysis, preprocessing steps for computational text mining and extraction of business insights. Concepts such as feature representation using bag of words and TF-IDF are demonstrated, clustering and supervised machine learning algorithms like regression and others are used on a DTM
Understanding_ML
Walking you through OLS, its assumptions, testing them and using advanced ML algorithms when they don't hold. For example, when there is Heteroskedasticity, Weighted Least Squared Regression Is Used. When there is non linearity between the predictor and the dependent variable, we try Piecewise Reg or Polynomial Reg.. Follow me for a fun ride :)
Agoons20's Repositories
Agoons20/2019_R_Projects
Projects Done during the Data Science and Business Analytics Program Offered By Great Learning In Partnership with UTX at Austin
Agoons20/Portfolio-Mgmt-And-Machine-Learning-in-Finance
Investment Analysis and Asset Mgmt, Time Series Analysis & Forecasting, Machine Learning in Finance & Causal Inference Methods
Agoons20/SQL--Bounced_Email_Deactivation
ETL process: This script identifies Bounced emails to be deactivated and finds the next preferred email for a person or constituent based on company's business rule in order to clean up the database and improve the effectiveness of solicitation by ensuring accurate contact information.
Agoons20/Text_Mining_in_R
The projects here demonstrate how a textual corpus is prepared for analysis, preprocessing steps for computational text mining and extraction of business insights. Concepts such as feature representation using bag of words and TF-IDF are demonstrated, clustering and supervised machine learning algorithms like regression and others are used on a DTM
Agoons20/Understanding_ML
Walking you through OLS, its assumptions, testing them and using advanced ML algorithms when they don't hold. For example, when there is Heteroskedasticity, Weighted Least Squared Regression Is Used. When there is non linearity between the predictor and the dependent variable, we try Piecewise Reg or Polynomial Reg.. Follow me for a fun ride :)