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| 1 | +Advance Level |
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| 3 | +Task 1 :Image Converter: |
| 4 | + |
| 5 | +Where the program that accepts images in multiple formats that may be in JPEG, PNG, BMP, GIF and converts them into a desired format using Python Imaging Library (PIL) that may be any of the formats mentioned. |
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| 8 | +Task 2:Data Analysis with Pandas: |
| 9 | + |
| 10 | +In the program on loading the "Iris" dataset from Seaborn and analyzing it using Pandas and performed exploratory data analysis, cleaning, aggregation, visualizations, and correlation calculations. |
| 11 | +The output of the program will consits of calculations , graph which will be more understanding to users. |
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| 14 | +Task 3:Linear Regression with Scikit-learn: |
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| 16 | +Completed a program by applying linear regression to predict house prices from the Boston housing dataset using scikit-learn and compared train and test scores and plot residuals. |
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| 18 | +Task 4:Image Compression: |
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| 20 | +Developed a Python program for compressing images while maintaining quality by exploring compression techniques like RLE and DCT and allowing users to adjust compression quality, support various image formats, and provide output options. Optionally, include a user interface. |
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