---
title: "Deep Learning with Structured Data"
id: "13499"
type: "page"
slug: "deeplearningwithstructureddata"
published_at: "2026-07-19T19:04:18+00:00"
modified_at: "2026-07-20T00:19:22+00:00"
url: "https://preppers-paradise.com/library/deeplearningwithstructureddata/"
markdown_url: "https://preppers-paradise.com/library/deeplearningwithstructureddata.md"
excerpt: "This book guides readers through the practical application of deep learning methods specifically for structured datasets. It covers the entire machine learning workflow, from initial data exploration, cleansing, and transformation using Python-based data manipulation tools, to building, training, an"
taxonomy_category:
  - "AI &amp; Machine Learning"
  - "Books"
  - "Free Teaser"
taxonomy_post_tag:
  - "data preparation"
  - "data science"
  - "deep learning"
  - "keras"
  - "machine learning"
  - "model deployment"
  - "pandas"
  - "python"
  - "structured data"
  - "tensorflow"
---

# *Deep Learning with Structured Data*

This book guides readers through the practical application of deep learning methods specifically for structured datasets. It covers the entire machine learning workflow, from initial data exploration, cleansing, and transformation using Python-based data manipulation tools, to building, training, and experimenting with deep learning models using popular frameworks. Readers will learn how to prepare structured data, construct neural networks, evaluate model performance, and deploy their solutions for real-world prediction problems, illustrated with an end-to-end example.

This page is free — overview and chapter list only.
Full book: $2.99 USDC · Per chapter: $0.25 USDC
[Buy / open complete book](/library/complete/deeplearningwithstructureddata/) · [Complete book Markdown](/library/complete/deeplearningwithstructureddata.md)

## Chapters

1. [Deep Learning With Structured Data](/library/deeplearningwithstructureddata/01-deep-learning-with-structured-data/) (Free teaser)
1. [1 Why Deep Learning With Structured Data 1Page 26 0](/library/deeplearningwithstructureddata/02-1-why-deep-learning-with-structured-data-1page-26-0/) ($0.25)
1. [Introduction To The Example Problem And Pandas Dataframes](/library/deeplearningwithstructureddata/03-introduction-to-the-example-problem-and-pandas-dataframes/) ($0.25)
1. [Preparing The Data Part 1 Exploring And Cleansing The Data](/library/deeplearningwithstructureddata/04-preparing-the-data-part-1-exploring-and-cleansing-the-data/) ($0.25)
1. [36 Categorizing Data Into Continuous Categorical And Text Ca](/library/deeplearningwithstructureddata/05-36-categorizing-data-into-continuous-categorical-and-text-ca/) ($0.25)
1. [38 Finding Out How Much Data Deep Learning Needs](/library/deeplearningwithstructureddata/06-38-finding-out-how-much-data-deep-learning-needs/) ($0.25)
1. [Preparing The Data Part 2 Transforming The Data](/library/deeplearningwithstructureddata/07-preparing-the-data-part-2-transforming-the-data/) ($0.25)
1. [43 Why Only One Substitute For All Bad Values](/library/deeplearningwithstructureddata/08-43-why-only-one-substitute-for-all-bad-values/) ($0.25)
1. [44 Dealing With Incorrect Values Vehicles](/library/deeplearningwithstructureddata/09-44-dealing-with-incorrect-values-vehicles/) ($0.25)
1. [45 Dealing With Inconsistent Values Location](/library/deeplearningwithstructureddata/10-45-dealing-with-inconsistent-values-location/) ($0.25)
1. [46 Going The Distance Locations](/library/deeplearningwithstructureddata/11-46-going-the-distance-locations/) ($0.25)
1. [47 Fixing Type Mismatches](/library/deeplearningwithstructureddata/12-47-fixing-type-mismatches/) ($0.25)
1. [48 Dealing With Rows That Still Contain Bad Data](/library/deeplearningwithstructureddata/13-48-dealing-with-rows-that-still-contain-bad-data/) ($0.25)
1. [Preparing And Building The Model](/library/deeplearningwithstructureddata/14-preparing-and-building-the-model/) ($0.25)
1. [52 Domain Expertise And Minimal Scoring Tests To Prevent Dat](/library/deeplearningwithstructureddata/15-52-domain-expertise-and-minimal-scoring-tests-to-prevent-dat/) ($0.25)
1. [54 Code For Exploring Keras And Building The Model](/library/deeplearningwithstructureddata/16-54-code-for-exploring-keras-and-building-the-model/) ($0.25)
1. [Training The Model And Running Experiments](/library/deeplearningwithstructureddata/17-training-the-model-and-running-experiments/) ($0.25)
1. [Acc](/library/deeplearningwithstructureddata/18-acc/) ($0.25)
1. [68 Getting Identical Results From Multiple Training Runs](/library/deeplearningwithstructureddata/19-68-getting-identical-results-from-multiple-training-runs/) ($0.25)
1. [69 Shortcuts To Scoring](/library/deeplearningwithstructureddata/20-69-shortcuts-to-scoring/) ($0.25)
1. [611 Running A Series Of Training Experiments](/library/deeplearningwithstructureddata/21-611-running-a-series-of-training-experiments/) ($0.25)
1. [Summary](/library/deeplearningwithstructureddata/22-summary/) ($0.25)
1. [More Experiments With The Trained Model](/library/deeplearningwithstructureddata/23-more-experiments-with-the-trained-model/) ($0.25)
1. [71 Code For More Experiments With The Model](/library/deeplearningwithstructureddata/24-71-code-for-more-experiments-with-the-model/) ($0.25)
1. [72 Validating Whether Removing Bad Values Improves The Model](/library/deeplearningwithstructureddata/25-72-validating-whether-removing-bad-values-improves-the-model/) ($0.25)
1. [73 Validating Whether Embeddings For Columns Improve The Per](/library/deeplearningwithstructureddata/26-73-validating-whether-embeddings-for-columns-improve-the-per/) ($0.25)
1. [74 Comparing The Deep Learning Model With Xgboost](/library/deeplearningwithstructureddata/27-74-comparing-the-deep-learning-model-with-xgboost/) ($0.25)
1. [75 Possible Next Steps For Improving The Deep Learning Model](/library/deeplearningwithstructureddata/28-75-possible-next-steps-for-improving-the-deep-learning-model/) ($0.25)
1. [Summary 2](/library/deeplearningwithstructureddata/29-summary-2/) ($0.25)
1. [Deploying The Model](/library/deeplearningwithstructureddata/30-deploying-the-model/) ($0.25)
1. [81 Overview Of Model Deployment](/library/deeplearningwithstructureddata/31-81-overview-of-model-deployment/) ($0.25)
1. [82 If Deployment Is So Important Why Is It So Hard](/library/deeplearningwithstructureddata/32-82-if-deployment-is-so-important-why-is-it-so-hard/) ($0.25)
1. [83 Review Of One Off Scoring](/library/deeplearningwithstructureddata/33-83-review-of-one-off-scoring/) ($0.25)
1. [84 The User Experience With Web Deployment](/library/deeplearningwithstructureddata/34-84-the-user-experience-with-web-deployment/) ($0.25)
1. [85 Steps To Deploy Your Model With Web Deployment](/library/deeplearningwithstructureddata/35-85-steps-to-deploy-your-model-with-web-deployment/) ($0.25)
1. [86 Behind The Scenes With Web Deployment](/library/deeplearningwithstructureddata/36-86-behind-the-scenes-with-web-deployment/) ($0.25)
1. [87 The User Experience With Facebook Messenger Deployment](/library/deeplearningwithstructureddata/37-87-the-user-experience-with-facebook-messenger-deployment/) ($0.25)
1. [89 More Background On Rasa](/library/deeplearningwithstructureddata/38-89-more-background-on-rasa/) ($0.25)
1. [Recommended Next Steps](/library/deeplearningwithstructureddata/39-recommended-next-steps/) ($0.25)
1. [Appendix Using Google Colaboratory](/library/deeplearningwithstructureddata/40-appendix-using-google-colaboratory/) ($0.25)
