Exploratory Data Analysis in Python

A course about how to approach a dataset for the first time

Development Data Science Udemy
Category Label Platform
Exploratory Data Analysis in Python

Free Courses : Exploratory Data Analysis in Python


When we put our hands on a dataset for the first time, we cant wait to test several models and algorithms. This is wrong because if we dont know the information before feeding our model, the results will be unreliable and the model itself will surely fail. Moreover, if we dont select the best features in advance, the training phase becomes slow and the model wont learn anything useful.

So, the first approach we must have is to take a look at our dataset and visualize the information it contains. In other words, we have to explore it.

Thats the purpose of the Exploratory Data Analysis.

EDA is an important step of data science and machine learning. It helps us explore the information hidden inside a dataset before applying any model or algorithm. It makes heavy use of data visualization, its bias-free.

Moreover, it lets us figure out whether our features have predictive power or not, determining if the machine learning project we are working on has chances to be successful. Without EDA, we may give the wrong data to a model without reaching any success.

With this course, the student will learn:

  • How to visualize information that is hidden inside the dataset

  • How to visualize the correlation and the importance of the columns of a dataset

  • Some useful Python libraries

All the lessons are practical and made using Python programming language and Jupyter notebooks. All the notebooks are downloadable.

Related Posts:
  1. Google Search Console: How to use it to increase SEO traffic
  2. Tutorial SEO bahasa indonesia
  3. Mulai belajar Go Lang
  4. Web Development Menggunakan Webflow
  5. Belajar Ngrok HTTP Tunnel

You can support us by donate with buy us a coffee. We appreciate your donation to our work for share free udemy courses.

Get courses alert everyday on our Telegram Channel. Join Now

Insidelearn Telegram Channel

Share this courses to your friends, community.

10,000+ People trust Insidelearn! Get courses alert on Telegram or Discord.