Book Image

Pandas for Predictive Analysis using scikit-learn [Video]

By : Harish Garg
Book Image

Pandas for Predictive Analysis using scikit-learn [Video]

By: Harish Garg

Overview of this book

<p><span id="description" class="sugar_field">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. </span></p> <p><span id="description" class="sugar_field">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. </span></p> <p><span id="description" class="sugar_field">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.</span></p> <h2><span class="sugar_field">Style and Approach</span></h2> <p><span id="trade_selling_points_c" class="sugar_field">In this course, you will learn how to apply machine learning models and make predictions as a Data scientist with the help of real world examples.</span></p>
Table of Contents (4 chapters)
Chapter 4
Predict Sentiments Based on Text
Content Locked
Section 1
Making Your Bag of Words Ready
Learn how to start with sentiment analysis by creating a corpus of text or a bag of words ready. - Learn how to use scikit-learn’s CountVectorizer class - Explore the process of building vocabulary or bag of words on a sample set - Import a real dataset and build a bag of words from it