Automated Machine Learning for Citizen Data Scientists

سرفصل های دوره

Launchpad for Citizen Data Scientists, Augmented Analysts, Data Storytellers and Insight Translators with PyCaret

1 - Introduction

1 - How this course is organised

2 - What is a Citizen Data Scientist

3 - Which type of Citizen Data Scientist are you

4 - Who is the instructor

5 - 2 keys to maintain learning momentum

6 - Your first Google Colab Account

7 - PyCarets 55 inbuilt datasets

8 - How to get the most out of this course

2 - Supervised Learning Regression and Classification

9 - Introduction to PyCaret

10 - How is AutoML so accessible to all the secret

11 - Regression with PyCaret the House Dataset demonstration

11 - pycaretregression-housesaleprice.zip

12 - Classification with PyCaret the Wine Dataset demonstration

12 - winepycaretclassification.zip

3 - Unsupervised Learning Clustering

13 - What is Clustering

14 - Indepth Demonstration Pokemon

14 - pokemon-pycaretclustering.zip

4 - Working with Text

15 - Demonstration 1 Text Classification Easy

15 - simple-textclassificationwithtextblob-cat-dog.zip

16 - Demonstration 2 Text Classification Medium

16 - medium-textclassificationwithtextblob-historygeography.zip

17 - Demonstration 3 Capturing nuances in Sentiment Analysis using VaderSentiment

17 - capturingnuance-vadersentiment.zip

5 - Pattern Recognition in Categorical Information

18 - Introduction to Association Rule Mining

19 - Efficient Apriori with travel destination information

19 - efficientapriori-storetransactions-1.zip

6 - Outliers Working with Anomalous Data

20 - What is Anomaly Detection

21 - Time Series Anomaly Detection Apple Stock Data Demonstration

21 - timeseriesanomalydetection-applestockdata.zip

7 - Conclusion Championing an Ecosystem that Empowers Citizen Data Scientists

22 - Ways to advocate for investment into a citizen data science ecosystem

23 - Your Citizen Data Science journey

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تولید کننده: Udemy