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Welcome to the UCLA_data_science_W_2018 wiki!

Index

1. How to

   • How to add wiki content
   • How to Bash
   • How to pull and push the notebook from and to the github
   • How to structure a problem statement

2. Data Science Playground

3. Programming

   • Programming Fundamentals
   • Python Data Types and R Data Types
   • Python Libraries and R Libraries

4. Statistics

   • Nominal, Ordinal and Interval Variables.
   • Distributions
   • Linear Algebra
   • Hypothesis Testing
   • Variance-Inflation-Factor
   • Redundancy

5. Data Pre-processing

6. Types of Data Science Problems

   • Predictor Vs Transformer

   • Regression -- Linear Regression -- Logistic Regression

   • Classification

   • Clustering

   • KNN

   • SVM

   • Principal Component Analysis

   • NLP

7. Setting Up a Docker File (Twitter Streamer)

8. Analyse Tweeter Data

   • Filtering Tweets By Location
   • Finding the most favorite tweet
   • Verified Users
   • Type of Device
   • Using MongoDB for GeoMapping

9. Data Storage

   • RDBMS Vs NOSQL Vs Key-value-cache-store
     • DAG
     • Hadoop
     • REDIS (splat, double splat)
     • MongoDB

10. Process

    • Luigi Tool