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Introduction to Python & Machine Learning (with Analytics Vidhya Hackathons)

41 Exercises 2 hour 6,057 Participants 3,250 XP

Open Course Description

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

Chapter 1: Introduction to Python for Data Analysis

This chapter will get you started with Python for Data Analysis. We will cover the reasons to learn Data Science using Python, provide an overview of the Python ecosystem and get you to write your first code in Python!

Chapter 2: Python Libraries and data structures

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

Chapter 3: Exploratory analysis in Python using Pandas

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

Chapter 4: Data Munging in Python using Pandas

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

Chapter 5: Building a Predictive model in Python

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

Chapter 6: Expert advice to improve model performance

This chapter will help to understand the approach of data science experts, "How they do approach a challenge?", "How to select a right algorithm?", "How to combine outputs of multiple algorithms?" and "How to select the right value of model parameter also known as parameter tuning?".

Author image course 1129 20160728 29 12wekd7?1469692960
Kunal Jain
Kunal is the Founder & CEO of Analytics Vidhya, a community of data science professionals.
At Analytics Vidhya, we believe that Data Science knowledge should be free and accessible to everyone across the globe.