🪴 Freeman's Second Brain

Search

SearchSearch
      • DC
      • Postgres Specific Functions
      • Publish Main
            • Amazon CloudWatch
            • AMI
            • Auto Scaling
            • AWS Command Line Interface
            • AWS Global Infrastructure
            • AWS Management Console
            • AWS Software Development Kits
            • CRUD
            • Data Center
            • EC2
            • ELB
            • HW5
            • IAM user
            • Main
            • Object Storage Service
            • RDS
            • root user
            • VPC
            • AWS Identity and Access Management
            • main
            • Role Based Access in AWS
            • Shared Responsible Model
        • Amazon Main
        • API
        • Availability Zone
        • Cloud
        • Cloud Computing
        • Compute as a Service
        • HTTP
        • Hybrid
        • IaaS
        • IAM role
        • IAM user
        • keykey
        • On-premises
        • Paas
        • Region
        • S3
        • SaaS
          • CNN
          • U-Net architecture
        • Computer Vision main
        • Distributed Computing Main
        • exam 1 review
        • Spark documentation
            • Direct Sum
            • Simultaneously Diagnolizable
            • Untitled
            • Submatrix
          • Advanced Linear Algebra Guide
              • Gauss-Jordan Method
              • Gaussian Elimmination and Matrices
              • Linear Equations Guide
              • Two-Point Boundary VaLue Problems
              • Algebraic descrpition for vector addition and scalar multiplicaiton
              • Bases
              • dimension
              • linear combination
              • linear dependence
              • linear Independence
              • Span
              • vector
              • Vector Sapce Guide
              • vector Space
            • Permutation Matrix
          • Linear Algebra Basic Guide
          • Linear Combinaiton
        • Linear vs Non Linear
            • Anomaly Detection Guide
            • Isolation Forest
            • KNN Anomaly Detection
            • Dimension Reduction Guide
            • Elastic Net(Hybird Lasso&Ridge)
            • Factor Analysis
            • Principle Compnment Analysis
            • Singular Values Decomposition
            • Hot-End Encoding
            • Untitled
            • Bias
            • Class
            • Coefficients
            • Cost Function
            • Domain set
            • Features
            • Hyperparameter
            • Loss Function
            • MSE
            • Observation
            • Parameters
            • Residulas
            • Visualization
          • Metrics guide
          • Sampling Technique Guide
            • Classification Discrimination
            • Classification Guide
            • Naive Bayes
              • Backward selection with AIC
              • Forward model selection
              • Model Selection
              • Model Selection Metrics
              • Boostrap
              • Diagnose for out lier detcetion
              • Examine through plots
              • Inference on the regression parameters
              • MLR - t test and anova
              • Model Validation & Diagnosis
              • Model Validation & Diagnosis Main
              • Multicollinearity
              • R square and adjusted R square
              • Testing
              • VIF
                • Generlized Lieaner Model
                • Non-Linear Model Guide
                • None Linear Regression
              • Genera Linear Model
              • Least Mean Square Regression
              • Linear Regression Models Main
              • Logistic Regression
              • LoweSS(Local Regression)
              • Mutiple Linear Regression
              • Piecewise Regression
              • Poisson Regression
              • Polynomial Regression
              • regression with discontinuity
              • Robust Regression
              • Simple Linear Regression
              • Standarized Regression
              • Weighted Leaset Squares Regression
              • Addjusted cost function
              • Bias Variance Trade off
              • Elastic Net
              • Feature Selection
              • Lasso Regression
              • Regluarization
              • Regression with Regularization Techniques Mian
              • Ridge Regression
              • Tendency
            • Linear Regression Guide
            • Linear Regression in ML
            • Logistic Regression in ML
            • MLR - Categorical Predictors
            • Decision Tree
            • Random Forest
          • Scalling
          • Supervise Learning Guide
          • Train-Validation-Test sets
          • Hierarchical clustering
          • K-mean ++
          • K-mean Cluster
          • Optimize K-mean Cluster
          • Proximity Matrix
          • UnSupervise Learning Guide
        • Machine Learning
        • ML Lab
        • ML Pipeline
          • complex numbers
          • Euclidean product
          • intergers
          • Natural number
          • None-linearty
          • rational number
          • real numbers
          • set
          • taylor explansion
        • 1.3Linearty
          • HW1
          • Cs Guide
          • Data Type
          • Data Acquisition
          • HTML Tags & Elements
          • Package
            • EDA Practice Main
            • Numpy and Pandas
            • Pandas
            • Visualization Practice
          • EDA Guide
          • Plot
          • Linear Regression Analysis
          • Matrix Notation(MLR)
          • Simple and Multiple Linear Regression
          • Statistical Inference
          • indexing
          • Relational Database
          • Relational Database Overview
            • Main
            • Stats main
            • Veiw
          • MSDS stats
        • Plan
        • Basketball Shooting Experiment
        • Basketball Shooting Experiment 1
        • Basketball Shooting Experiment 2
        • Final
        • Paper
        • Regression Final Paper
          • calculated columns
          • calculated Measures
          • Data Analysis Expressions
          • Funcitons
        • Probability Theory Guide
          • Advanced SQL Guide
          • SQL Fundamental Guide
                • Continuous Random Variables
                • Discrete Random Variables
                • Event & Probability Measure Function
                • Random Experiment & Outcome Space
                • Random Vector
                • Sample Space
              • Basic term
              • Bayes Theorem
              • Conditional Probability
              • Confident Interval
              • Continuous Probability
              • counting
              • Disceret Probability distribution
              • expected value
              • Independent Events
              • Joint CDF
              • Marginal distribution
              • mean
              • P-value
              • Partitions
              • Percentile
              • Probability Function
              • Probability Mass Function
              • Random Varaiable
              • Random Variable
              • standard deviation
              • variance
                • Bayesian Estimation
                • Chi square Distribution
                • Exponential Random Varaible
                • F-distribution
                • Normal Distribution
                • Students t-distrbution
                • T Distribution
                • Uniform Distribution
                • Bernoulli Random Variable
                • Binomial distribution
                • Geometric Random Variable
              • Distribution
              • Moment Generating Function
              • Poisson Distribution
              • Chebyshev inequality
              • Markov Chain
              • Markov inequality
            • Coveriance
            • Degree of Freedom
            • Memoryless property
            • Multiplicative Rule
          • Basic Stastistic Guide
          • Correlation coefficient
          • MGF
          • Central Limit Theorem
          • Convergence in Distribution
          • Law of Large Number
          • Main
        • Statistic Inference Guide
          • ACF and PACF plots
          • Auto Correlation
          • Decomposition
          • Missing value imputation
          • Moving-average smoothing
          • stationary process
          • Time series plot
          • hw1
          • ARIMA
          • Forecasting
          • Model Diagnostics
          • Naïve methods
          • Prediction performance metrics
          • quiz1
        • Time Series Main
      • Alcohol Consumption
      • Basketball Shooting Experiment
      • Basketball Shooting Experiment 1
      • Basketball Shooting With Regression
      • Experiment Testing Netflix
      • Microsoft Capstone Project
      • news vs news ML pipline with airflow
      • Spokane Hospital Data Analysis
      • Build
      • Daliy notes
      • Distribution
      • Main
      • Theorem
      • Vocab
    • Data Wrangling
    • stasts
    • Untitled
Home

❯

Notes

❯

Machine Learning

❯

Un Supervise Learning

❯

Hierarchical clustering

Hierarchical clustering

Graph View

Backlinks

  • UnSupervise Learning Guide

Copyright © Freeman Chen 2024

  • GitHub
  • LinkedIn
  • CV