Day 5

Today, I will be reading about different steps required to create a data science project.

Reading this article here

My key takeaways:

1. Data Collection

2. Data Cleaning

3. Data Preprocessing

4. Data Visualisation

Learnt about different plots - like scatterplot, boxplot - all of this is required for EDA. (Exploratory Data Analysis)

Honestly, even though it touched upon various important concepts, I didn't really feel that I learnt "that much".

So, I will be directly starting of with https://www.kaggle.com/learn/intro-to-machine-learning

Adios!