Machine Learning Section 1 - April 3

This training session is designed to introduce beginners to Exploratory Data Analysis (EDA) using Python, focusing on the Pandas library. Participants will learn how to clean, preprocess, and analyze data efficiently, gaining hands-on experience with a retail dataset. The session will focus on fundamental data wrangling techniques.

Learning Objectives:

1. Understand the structure and properties of a dataset using Pandas.

2. Identify and handle missing values and duplicate records.

3. Perform basic statistical analysis using descriptive statistics.

4. Engineer new features to enhance data insights.

5. Detect and manage outliers.

6. Data aggregation for univariate analysis.

7. Convert categorical variables into numerical form.

Reference Material:

YouTube Playlist on Pandas Library

https://www.analyticsisnormal.com/post/pandas-demystified

It is recommended to download anaconda, which will automatically install jupyter notebook, which will be used throughout the session https://www.anaconda.com/download/success