User:Lixinso/datamining
Fundamentals
[edit]Matrices & Linear Algebra Fundamentals
[edit]Hash Functions, Binary Tree O(n)
[edit]Relational Algebra, DB Basics
[edit]Inner,Outer,Cross,Theta Join
[edit]CAP Theorem
[edit]Tabular Data
[edit]Data Frames & Series
[edit]Sharding
[edit]OLAP
[edit]Multidimensional Data Model
[edit]ETL
[edit]Reporting Vs BI Vs Analytics
[edit]JSON & XML
[edit]NoSQL
[edit]Regex
[edit]Vendor Landscape
[edit]Env Setup
[edit]Statistics
[edit]Exploratory Data Analysis
[edit]Histograms
[edit]Percentiles & Outliers
[edit]Probability Theory
[edit]Bayes Theorem
[edit]Random Variables
[edit]Cumul Dist Fn(CDF)
[edit]Continuos Distributions(Normal,Poison,Gaussian)
[edit]ANOVA
[edit]Prob Den Fn (PDF)
[edit]Central Limit Theorem
[edit]Monte Carlo Method
[edit]Hypothesis Testing
[edit]p-Value
[edit]Chi^2 Test
[edit]Estimation
[edit]Confid int(CI)
[edit]MLE
[edit]Kernel Density Estimate
[edit]Regression
[edit]Covariance
[edit]Correlation
[edit]Pearson Coeff
[edit]Causation
[edit]Least^2 Fit
[edit]Euclidean Distance
[edit]Programming
[edit]Install Pkgs
[edit]Factor Analysis
[edit]Functions
[edit]Manipulate Data Frames
[edit]Subsetting Data
[edit]Reading Raw Data
[edit]Reading CSV Data
[edit]Data Frames
[edit]Lists
[edit]Factors
[edit]Arrays
[edit]Matrices
[edit]Vectors
[edit]Variables
[edit]Expressions
[edit]R Basics
[edit]R Setup
[edit]R Studio
[edit]Working in Excel
[edit]Python Basics
[edit]Rapid Miner
[edit]IBM SPSS
[edit]Machine Learning
[edit]What's ML
[edit]Numberical Var
[edit]Categorical Var
[edit]Supervised Learning
[edit]Unsupervised Learning
[edit]Concepts, Inputs & Attributes
[edit]Training & Testing Data
[edit]Classifier
[edit]Predication
[edit]Lift
[edit]OverFitting
[edit]Bias & Variance
[edit]Trees & Classification
[edit]Classification Rate
[edit]Decision Trees
[edit]Boosting
[edit]Naive Bayes Classifier
[edit]K-Nearest Neighbor
[edit]Regression
[edit]Ranking
[edit]Linear Regression
[edit]Perceptron
[edit]Hierarchical Clustering
[edit]K-Means Clustering
[edit]Neural Networks
[edit]Sentiment Analysis
[edit]Collaborative Filtering
[edit]Tagging
[edit]Vocabulary Mapping
[edit]Text Mining / NLP
[edit]Classify Text
[edit]Using NLTK
[edit]Using WEKA
[edit]Feature Extraction
[edit]Market Based Analysis
[edit]Association Rules
[edit]Support Vector Machines
[edit]Term Frequency & Weight
[edit]Term Document Matrix
[edit]UIMA
[edit]Text Analysis
[edit]Named Entity Recognition
[edit]Corpus
[edit]Big Data
[edit]==Data Replication Principles ==Setup Hadoop (IBM / Cloudera / HortonWorks)