The dataset is in the google drive link below: https://drive.google.com/drive/folders/1Ewx2PA-XjkJxdxiNysq6Kn5m-PLEISov?usp=sharing ** This active learning has 10 questions.

The dataset is in the google drive link below: 

https://drive.google.com/drive/folders/1Ewx2PA-XjkJxdxiNysq6Kn5m-PLEISov?usp=sharing

 

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** This active learning has 10 questions. Please follow the below steps. 1. Download the zip file from OnQ 2. Unzip it (you might need to do it online using an online tool) 3. Open AL_5.ipynb (the questions are in the notebook) 4. solve the 10 questions and submit your file What to turn in /. submit? Please, submit one program file for all the questions. The file extension should be (.ipynb). The submissions that don't respect this format will NOT be marked. In this activity, you will use Python Pandas and Numpy libraries to analyze the Iris dataset found in the rar file. After you are done, submit only one program file to the Activity dropbox. ** This active learning has 10 questions. Please follow the below steps. 1. Download the zip file from OnQ 2. Unzip it (you might need to do it online using an online tool) 3. Open AL_5.ipynb (the questions are in the notebook) 4. solve the 10 questions and submit your file What to turn in /. submit? Please, submit one program file for all the questions. The file extension should be (.ipynb). The submissions that don't respect this format will NOT be marked. In this activity, you will use Python Pandas and Numpy libraries to analyze the Iris dataset found in the rar file. After you are done, submit only one program file to the Activity dropbox.