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For you to be a master in data science, you should be able to master IT Tools, such as:
A Data Science student would be wrangling with data so much, that he should also be comfortable with:
Steps to be followed while solving data science assignments and homework are listed below
Popular concepts & topics on which data science assignments are homework is based are listed below:
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Code for: R and Linear Regression
Solution:
```
1.
```{r}
linear_regression<-function(x,y){
# number of observations/points
n = length(x)
# mean of x and y vector
m_x = mean(x)
m_y = mean(y)
# calculating cross-deviation and deviation about x
SS_xy = sum(y*x) - n*m_y*m_x
SS_xx = sum(x*x) - n*m_x*m_x
# calculating regression coefficients
b_1 = SS_xy / SS_xx
b_0 = m_y - b_1*m_x
return (c(b_0,b_1))
}
```
```{r}
b=linear_regression(x,y)
b
```
2.
```{r}
reg_function <- function(b0,b1,x){
y = b0 + b1*x
pred = c()
pred=append(pred,y)
return(pred)
}
```
```{r}
pred = reg_function(20.65919,3.195276,x)
pred
```
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