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Machine Learning - Coggle Diagram
Machine Learning
Supervised Learning
Softmax Regression/ Multi Logistic Regression
GLA: GDA & Naive Bayes
Linear Regression
Classification & Logistic Regression
Kernals & Support Vector Machines
Decision Trees
Generalized Linear Models
Random Forest
Optimization Algos
Gradient Descent
Newtons method
Stochastic Gradient Descent
Coordinate Descent
GD with Momentum | RMS
Adams GD
DataGathering
CSV
JSON
SQL
API
Webscraping
Ensemble Methods
Voting
Stacking
Bagging
Boosting
Unsupervised Learning
K means clustering
Density Est | GMM | EM algorithms
Factor Analysis
Deep Learning
Intro To Neural Nets
Forward Prop
Backward Prop
EDA
Asking Basic Questions
Univariate Analysis
Bivariate | Multivariate Analysis
FeatureEngineering
FeatureTransformations
Scaling
Encoding
Categorical
Numerical
f(features)
Imputation
OutlierDet
FeatureConstruction
DimensionalityRedn
FeatureExtraction
FeatureSelection
EvaluatingMetrics
Classification
Regression
Bias| Variance