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