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datascience-machine-learning's Introduction

Datascience, Machine Learning & AI

Labs

Labs for this course are available at path shared below. Elev8ed Notebooks (powered by Jupyter) will be accessible at the lab environment DNS given to you by your instructor.

  1. Getting Started
     * http://<host-ip>/lab/workspaces/lab1_Overview
  2. Statistics and Probability Refresher, and Python Practice - Part 1
     * http://<host-ip>/lab/workspaces/lab2_Statistics_Probability
  3. Statistics and Probability Refresher, and Python Practice - Part 2
     * http://<host-ip>/lab/workspaces/lab3_Statistics_Probability
  4. Matplotlib and Advanced Probability Concepts - Part 1
     * http://<host-ip>/lab/workspaces/lab4_Matplotlib
  5. Matplotlib and Advanced Probability Concepts - Part 2
     * http://<host-ip>/lab/workspaces/lab5_Matplotlib
  6. Predictive Models
     * http://<host-ip>/lab/workspaces/lab6_Predictive
  7. Machine Learning with Python - Part 1
     * http://<host-ip>/lab/workspaces/lab7_Machine_Learning
  8. Machine Learning with Python - Part 2
     * http://<host-ip>/lab/workspaces/lab8_Machine_Learning
  9. Machine Learning with Python - Part 3
     * http://<host-ip>/lab/workspaces/lab9_Machine_Learning
  10. Recommender Systems
    * http://<host-ip>/lab/workspaces/lab10_Recommender
  11. More Data Mining and Machine Learning Techniques
    * http://<host-ip>/lab/workspaces/lab11_Mining
  12. Dealing with Real-World Data
    * http://<host-ip>/lab/workspaces/lab12_Data
  13. Apache Spark - Machine Learning on Big Data - Part 1
    * http://<host-ip>/lab/workspaces/lab13_Spark
  14. Apache Spark - Machine Learning on Big Data - Part 2
    * http://<host-ip>/lab/workspaces/lab14_Spark
  15. Testing and Experimental Design
    * http://<host-ip>/lab/workspaces/lab15_Design

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