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Machine Learning - Coggle Diagram
Machine Learning
Day 5
Dimensionality Reduction
Reinforced Learning Strategy
Model free RL
Model Based RL
Clustering Algorithm
Ensemble Learning
Feature Engineering
Confusion Matrix
Day 4
Pros and Cons of Unsupervised
Semi Supervised
Supervised vs Unsupervised
Algorithm for Classification
Naive Bayes Classifier
KNN
SVM
Decision Tree
Logistic Regression
Clustering
Reinforced Learning
Applications
Day1
AI and ML
ML tools and Library
Usage of ML
Stages of ML
Introduction to Machine learning
Types of ML
Unsupervised Learning
Reinforced Learning
Supervised Learning
Day2
ML Algorithm
Training
Fitting
Models
Challenges of Machine Learning
Data Related
Algorithm Related
ML Terminology
Skewness
Generalization
Bias And Variance Error
Day7
Deep Learning
Feed Forward Neural Network
Artificial Neural Network
Backward Propagation
Basic Set of Layer
Activation Function
Day8
Natural Language Processing
Use cases of NLP
How it is related to health care
Processing of training NLP
Car Price Prediction
Day6
ML Development Workflow
Datasets
Training & Testing
Validation
ML System Development Phase
ML Workflow Phases
ML Pipelines
Day3
Taxonomy of ML
Incremental Learning
Supervised learning
Classification
Multiclass
Multi Label
Binary
Regression
Polynimal
Poly Linear
Linear
Training data
Single vs Multiple
Model / Instance Based Learning
Day10
Handson
Objective
Day9
Practice
Self Study