Alex Kumar - Week 25 Issue: Unit 2.2 - 2.5

[AlexKumar19]

• MCQ Final Blog

  • Contains Score, Remediations, and Reflection

• 2.2 Blog: Data Compression: Images

  • Contains Quiz Results at the Bottom

• 2.3 Blog: Extracting Information from Data, Pandas

• I analyzed the tip data set capturing information about tips and the people who gives tips, this data was collected from the seaborn data set

• I also went into using images and created a blue and red scale along with the grey scale code. I also tested out with blurring images

• Finally, I created a machine learning model that could predict the amount of tip given for the traits of the people. Some of the traits are sex, time of day, and what meal they are eating.

[ADVAYS16]

• MCQ Blog has proper reflection and correction.
• 2.2: Contains all requirements and adds a blur/color change to a single image. You could have resized the image and added meta data. All notes are complete and thorough reflection is present.
• 2.3: Contains all requirements and goes above and beyond in terms of creating a machine learning model.

[amayadvani]

I like your descriptions on the review ticket. MCQ blog has relection and corrections. Acheived all hacks for 2.2. I learned from the tip feature in 2.3 using the csv file. Analyzed tips and converted into numerical data for comperison.

[rohinsood]

Well done, I noticed the proper reflection and correction of your MCQ quiz. Your 2.2 blog contains all requirements and adds a blur/color change to a single image. You could have resized the image and added meta data. All notes are complete and thorough reflection is present. Your 2.3 blog contains all requirements and goes above and beyond in terms of creating a machine learning model.