Pinned Repositories
Boston-Housing-Data--Machine-Learning
A Machine Learning Algorithm (Linear Regression) was used to model the Boston Housing data. A brief and clear concept of the data including her history is given in this link. https://towardsdatascience.com/things-you-didnt-know-about-the-boston-housing-dataset-2e87a6f960e8
Email-Spam-Detection-Model
This model evaluates 5,574 email messages having spam (bad emails) and ham (good email). The goal is to predict spam emails and attention was given to "Precision", since we have a higher cost/penalty of False Positives (wrongfully classifying a good email as bad/spam email). Different classifiers were compared to see which favors our predict the most.
Numerical-Math-computing-question-
A 3 Point Newton-Cotes Open rule code. I need some clarity and debugging help.
Surgical-Unit
Best model selection for predicting survival of patients undergoing a particular type of liver operation in a hospital surgery unit. Code was built in R.
Okisspy's Repositories
Okisspy/Boston-Housing-Data--Machine-Learning
A Machine Learning Algorithm (Linear Regression) was used to model the Boston Housing data. A brief and clear concept of the data including her history is given in this link. https://towardsdatascience.com/things-you-didnt-know-about-the-boston-housing-dataset-2e87a6f960e8
Okisspy/Email-Spam-Detection-Model
This model evaluates 5,574 email messages having spam (bad emails) and ham (good email). The goal is to predict spam emails and attention was given to "Precision", since we have a higher cost/penalty of False Positives (wrongfully classifying a good email as bad/spam email). Different classifiers were compared to see which favors our predict the most.
Okisspy/Numerical-Math-computing-question-
A 3 Point Newton-Cotes Open rule code. I need some clarity and debugging help.
Okisspy/Surgical-Unit
Best model selection for predicting survival of patients undergoing a particular type of liver operation in a hospital surgery unit. Code was built in R.