Python Analysis Introduction;

What am I looking at?

• A tutorial for data analysis using Python using a few libraries including:
• Pandas, NumPy and CSV for data manipulation
• MatplotLib and Seaborn for visualization Libraries
• SciKit Learn for machine learning models and
• Analysis from beginning to end (importing, exploring, cleaning, training, testing, Accuracy, and the Math);

The Process:

• Problem Classification
• Importing
• Exploring
• Cleaning
• Transforming
• Training
• Testing
• Accuracy

Importing Data:

Colab Pandas CSV

from google.colab import files

data = files.upload()

Import pandas as pd

data = pd.read_csv("path/to/your/file.csv")

Import csv

with open('file.csv', 'r') as f:
     data = list(csv.reader(f, delimiter=','))

What's happening in the script above?

• Google Colab is used as the Python interpreter, as it simplifies sharing and collaboration
• The google.colab library allows you to import data using the upload function.
• Once that is executed, it will render an "Upload Button" which allows the end user to upload the cvs or excel file.