Datacamp Free: Introductory course in Python and machine learning

This course introduces basic concepts of data science, data exploration, preparation in Python and then prepares you to participate in exciting machine learning competitions in Analytics Vidhya.

Chapters

Introduction to Python for Data Analysis

This chapter will help you get started with Python for data analysis. We will cover the reasons for learning data science using Python!, we will provide an overview of the Python ecosystem and ask you to write your first code in Python!

Python Libraries and Data Structures

In this chapter, we will introduce you to some of the most common data structures in Python and walk you through some of the libraries we commonly use in data analysis.

Exploratory analysis in Python using Pandas

We start with the first step of data analysis: exploratory data analysis.

Data Munging in Python using Pandas

Pandas is at the heart of data analysis in Python. This chapter lets you get started with Data Munging in Python using Pandas

Building a predictive model in Python

We build our predictive models and ship to the AV DataHack platform in this section.

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Expert advice to improve model performance

This chapter will help you understand the approach of data science experts, “How do you approach a challenge?”, “How to select a suitable algorithm?”, “How to combine results from multiple algorithms?” Y “How to select the correct value of the model parameter, also known as parameter setting?”.

This incredible course is available for free at Datacamp.

To obtain the course for free, you must first register on the Datacamp platform either using your email or with one of your social networks

Register in Datacamp using the following button:

This course is available for free without the need for any coupon, through the "FREE" option.


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