solve this assignments

Assignment $1$:

Write a Python program to:

$-$ Load the Boston Housing dataset

$-$ Clean and preprocess the data

$-$ Calculate summary statistics $($mean$,$ median, mode, standard deviation$)$

$-$ Visualize the distribution of a chosen variable $($histogram or boxplot$)$

Assignment $2$:

Using the Pandas library, write a program to:

$-$ Load a provided dataset $($e$.$g$.,$ Iris or Wine$)$

$-$ Perform data manipulation tasks $($filtering$,$ sorting, grouping$)$

$-$ Create a pivot table to summarize data

$-$ Visualize the results using Matplotlib or Seaborn

Assignment $3$:

Write a program in Python to:

$-$ Load a dataset $($e$.$g$.,$ Titanic or Airbnb$)$

$-$ Perform exploratory data analysis $($EDA$)$

$-$ Create visualizations to illustrate key insights $($scatter plots, bar charts, heatmaps$)$

$-$ Write a brief report interpreting the findings

Assignment $4$:

Using scikit$-$learn, write a program to:

$-$ Load a dataset $($e$.$g$.,$ Iris or Diabetes$)$

$-$ Implement a simple machine learning model $($linear regression or decision tree$)$

$-$ Evaluate the model's performance using metrics $($accuracy$,$ precision, recall$)$

$-$ Visualize the results using confusion matrices or ROC curves

Assignment $5$:

Write a program in Python to:

$-$ Scrape data from a provided website or API

$-$ Clean and preprocess the data

$-$ Store the data in a structured format $($CSV or JSON$)$

$-$ Visualize the data using a chosen library $($Matplotlib$,$ Seaborn, Plotly$)$