Data Analysis Techniques

Introduction

This section of the Starter Guides is dedicated towards implementing specific data analysis techniques. It assumes zero depth in data science, but even developed data professionals will find something to take away.

Table of Contents

  • Natural Language Processing(NLP)

    • NLTK (Natural Language Toolkit)

    • Sentiment Analysis

    • Chatbots

    • Prodigy

      • Deploy and Access

    • Word Embeddings

      • Protein Sequence Embedding

    • Transformers

  • GIS

    • GIS Basic Example

    • ArcGIS

    • Basic PostGIS

    • Advanced PostGIS

    • Map Matching

    • Route Optimization

  • Neural Networks/Deep Learning

    • Recurrent Neural Networks

  • Computer Vision

  • Clustering

  • Trees

  • Naive Bayes

  • k-Nearest Neighbors