Datascience

My compillation of learning resources related to datascience

Getting Started

• What should I learn in data science in 100 hours?

General

• Software design pattern
• Data Science: What is the future of data analysis?

Tutorials

• Kaggle Titanic Tutorial in Scikit-learn

Books

• Zaki, M. & Meira, W. (2014). Data Mining and Analysis: Fundamental Concepts and Algorithms. New York: Cambridge University Press.

Journals

• Journal of Machine Learning Research

Linear Algebra

• Video: Essence of linear algebra (Youtube, 3Blue1Brown)

Data Cleaning and Manipulation

• How do I create test and train samples from one dataframe with pandas?
• Real-world data cleanup with Python and Pandas

Representative-based Clustering

K-Means

• Video: Introduction to Clustering and K-means Algorithm (Youtube, Kanza Batool Haider)

• Wikipedia: k-means clustering

• Zaki & Meira Chapter 13.1 k-means algorithm

• Video: K-Means Clustering (Youtube, V. Lavrenko, University of Edinburgh)

• Video: K-means clustering part 1-2 (Youtube, mathematicalmonk)

• Finding the K in K-Means Clustering

• Wikipedia: Determining the number of clusters in a data set

• Wikipedia: K-means Initialization Methods

• Python: Clustering with K-means in Python (Lloyd's algorithm from scratch)

• Video, Python: K-means clustering in Python (Analytics School)

Hierarchical clustering

• Video: Hierarchical clustering (Youtube, V. Lavrenko, University of Edinburgh)
• Video: K-means Clustering (Youtube, V. Lavrenko, University of Edinburgh)

Classification

k-nearest neighbors (k-NN)

• Zaki & Meira Chapter 18.3 k Nearest Neighbors Classifier

Naive Bayes

• Video: Naive Bayes Classifier (Youtube, V. Lavrenko)

Decision Tree

• Zaki & Meira Chapter 19 Decision Tree Classifier
• Video: Decision Tree (Youtube, V. Lavrenko)

Random Forest

• Random Forests
• Breiman, L. (2001). Random Forests.
• Random Forest Classifier Example

(Fisher's) Linear Discriminant Analysis (LDA)

• Zaki & Meira Chapter 20 Linear Discriminant Analysis
• Wikipedia: Linear discriminant analysis
• Video: Pattern Recognition Chapter 2 - Fisher Linear Discriminant Analysis (FLDA) (Youtube, Complete Gate HD)

DBSCAN

• Clustering to Reduce Spatial Data Set Size (Python)
• Visualizing DBSCAN Clustering

Machine learning

• Video: Machine Learning and Data Mining (Prof. A. Ihler, University of California Irvine)
• Video: Machine Learning (Prof. A. Ng, Stanford University)

Feature Engineering

• Bayesian Blocks for Histograms
• Binning Data in pandas
• Applying Operations Over pandas Dataframes

GIS & Spatial Analysis

• Online Geospatial Education at Penn State

Spatial Analysis with Python

• Python GIS Resources: The Ultimate Guide to Open-Source Geospatial Python Tools
• PySAL: an open source library of spatial analysis
• GeoPandas
• Video: Introduction to Spatial Data Analysis with Python

Jupyter

• Accessing a Jupyter notebook server through reverse port forwarding

• Remote Access to IPython Notebooks via SSH

Quotes

• "You need to know the question you are trying to answer" (Bell, J. (2015). Machine learning: Hands-On for Developers and Technical Professionals)

Research

• Predicting Math Performance from Raw Large-Scale Educational Assessments Data: A Machine Learning Approach
• Handling Missing Values when Applying Classification Models