This is the code repository for Pandas for Predictive Analysis using scikit-learn [Video], published by Packt. It contains all the supporting project files necessary to work through the video course from start to finish.
In this course we learn that stand alone data analysis is fine but what most companies these days are looking for is to do Predictive analysis using their data. In this advanced course, we will make you ready to start doing Predictive Analysis on your data by showing you how to build Machine Learning models with scikit-learn and pandas.
In this course, you will be training models and be making data based predictions using scikit-learn.The user will like this as a standalone product as Making Predictions data using Machine Learning is an absolute minimum skill for any Data Analyst \ Data Scientist these days. We will teach users how to use scikit-learn to make data based predictions. User will learn how to bring in their data using pandas, apply some machine learning models and take out the predictions. We will also walk the user through various popular Machine Learning algorithms.
By the end of this course, the user will be quite confident of doing Predictive Analysis on their own. This subject matter is big enough that 2-3 hours of stand alone course is absolute bare minimum to achieve it.
- Learn to read different kinds of data into Pandas Dataframes for data analysis.
- Discover how to manipulate, transform and apply formulas on the data imported into the pandas dataframes
- See how to analyze and visualize different kinds of data using Pandas, to gain real world insights.
- Get to know how to use Pandas to make predictions using Machine Learning and scikit-learn
- Work with Big Data using Pandas, and get useful information for your business decisions
- Practice data analysis with quantitative financial data and see how to model time-series data, perform algorithmic trading
- Take your Pandas to the next level by learning advanced techniques.
- Get to know how to take out transformed data out of Pandas dataframes and into the formats your application expects.
To fully benefit from the coverage included in this course, you will need:
Prior knowledge of Python
This course has the following software requirements:
Python, Scikit-learn