#### Read the content of the $`$weatherAUS$.$csv$`$ file into a dataset and perform the following:

$>**$Q$1\mathrm{.}1.**$ Preprocess and clean the dataset $(**$Note:$**$ Make sure to document your preprocessing step$)$: This step should include the following:

$-$ Dealing with the missing data

$-$ Dealing with the irregular data $($outliers$)$

$-$ Dealing with the unnecessary data

$-$ Dealing with the inconsistent data

$-$ Encoding categorical data

$>**$Q$1\mathrm{.}2.**$ Visualize the dataset

$>**$Q$1\mathrm{.}3.**$ Discuss the preliminary observations about the dataset. You may base your discussion on your visualizations, measures of central tendency, and measures of variability

$>**$Q$1\mathrm{.}4.**$ Build a classification model using Logistic Regression to predict the target variable $`$RainTomorrow$`$ from the dataset.

$>**$Q$1\mathrm{.}5.**$ Evaluate and discuss the model performance