Pandas for Predictive Analysis using scikit-learn [Video]

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Pandas for Predictive Analysis using scikit-learn [Video]

Harish Garg

Learn how to use Pandas for Predictive Analysis by employing scikit-learn

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Video Details

ISBN 139781788391429
Course Length1 hour 12 minutes

Video Description

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.

Style and Approach

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.

Table of Contents

Setting Up scikit-learn and Training Your First ML Model
The Course Overview
Setting Up scikit-learn for Machine Learning
Preprocessing Your Data to Make It Ready for Training a Model
Training and Running the Classification Model
Getting Your Own Data Ready for Machine Learning
Choosing and Evaluating Best ML Models
Evaluating a Machine Learning Model
Selecting Best Features for Training the Model
Tuning Feature Performance
Trying Out Some Different scikit-learn Algorithms
Using Naive Bayes Classification Algorithm
Building Models Using Support Vector Machine
Using Decision Tree Classifiers
Predict Sentiments Based on Text
Making Your Bag of Words Ready
Building and Training a Model
Making Predictions

What You Will Learn

  • 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.

Authors

Table of Contents

Setting Up scikit-learn and Training Your First ML Model
The Course Overview
Setting Up scikit-learn for Machine Learning
Preprocessing Your Data to Make It Ready for Training a Model
Training and Running the Classification Model
Getting Your Own Data Ready for Machine Learning
Choosing and Evaluating Best ML Models
Evaluating a Machine Learning Model
Selecting Best Features for Training the Model
Tuning Feature Performance
Trying Out Some Different scikit-learn Algorithms
Using Naive Bayes Classification Algorithm
Building Models Using Support Vector Machine
Using Decision Tree Classifiers
Predict Sentiments Based on Text
Making Your Bag of Words Ready
Building and Training a Model
Making Predictions

Video Details

ISBN 139781788391429
Course Length1 hour 12 minutes
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