data-science-notes

Data Science Notes

This repository contains notes about the machine learning, various tools for data science and big data.

Introduction

First of all, I'd like to point out that these notes can be subjective because I took them while reading, listening or watching the course materials. You can find the references I mentioned below.

Another point I would like to convey is that the notes do not contain all of the course materials. As I mentioned before, these notes are subjective and in some places only the parts I needed necessary were taken.

Finally, you can find the notes in PDF format under the pdf folder in bulk.

List of Notes

• IBM Data Science Specialization

  • Model Development
  • Data Visualization
  • Regression
  • Classification
  • Clustering
  • Recommendation

• Neo4j Online Training

  • Introduction to Graph Databases
  • Introduction to Neo4j
  • Introduction to Cypher
  • Getting More Out of Queries
  • Creating Nodes and Relationships
  • Getting More Out of Neo4j
  • Exercises

• Spark-Scala Tutorial (Given by Tark Ylmaz)

  • Introduction to Scala
  • Loops and Classes in Scala
  • Deep Dive into Apache Spark
  • Introduction to UDF and UDAF

• Statistics with Python Specialization

  • Understanding and Visualizing Data with Python - Part I
  • Understanding and Visualizing Data with Python - Part II
  • Inferential Statistical Analysis with Python - Part I
  • Inferential Statistical Analysis with Python - Part I (Practices)
  • Inferential Statistical Analysis with Python - Part II
  • Inferential Statistical Analysis with Python - Part II (Practices)
  • Fitting Statistical Models to Data with Python - Part I
  • Fitting Statistical Models to Data with Python - Part I (Practices)
  • Fitting Statistical Models to Data with Python - Part II
  • Fitting Statistical Models to Data with Python - Part III