Machine Learning with R_1.Rpres

Machine Learning with R_1
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author: Parash Upreti
date: 
autosize: true

Machine learning Classification Problems
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- This presentation covers the ways to create a machine learnining algorithm to classify cancerous cells. We will use differnt techniques and measure the accuracy of the prediction using each models. 

- The dataset comes from UCI Machine Learning Recipotary. You can read about the dataset in the website. http://archive.ics.uci.edu/ml/datasets/Breast+Cancer+Wisconsin+%28Diagnostic%29


- Please note that this data is already cleaned and ready for use. So a majority of work is already done. Now we will use this data and predict if our algorithms can correctly classify.

- We will use multiple supervised vs unsupervised methods for classification

- Lets get started

Importing and Looking at the dataset
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```{r}
summary(cars)
```

Slide With Plot
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```{r, echo=FALSE}
plot(cars)
```