Edd's Harbor ⛵
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Application Design
How to Create Your Own CLI
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Designing Machine Learning Systems
Hands on ML with Scikit-Learn, Keras & Tensorflow
Natural Language Processing with Python
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Machine Learning
0. Glossary
1. ML Domain
2. Notes
3. Exploratory Data Analysis (EDA)
4. Scaling
5. Metrics & Loss Functions
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Machine Learning (Algorithms)
Bagging
Bayesian Decision Methods
Bayesian Networks
Boosting
Convolutional Neural Networks
Decision Trees
Fisher's Linear Discriminant
Gradient Descent
Hierarchical Clustering
Least-Square Classification
Linear Regression
Locally Adaptive Clustering (LAC)
Logistic Regression
Mixtures of Gaussians
Neural Networks
Polynomial Regression
Principal Component Analysis (PCA)
Random Forest
Recommendation Systems
Rosenblatt's Perceptron
Self-organizing Map
Support Vector Machines
k-Means
k-Nearest Neighbors
Machine Learning (Math)
0. Glossary
1. Probability
2. Linear Algebra
3. Calculus
4. Bayesian Decision Theory
Natural Language Processing
0. Glossary
Keyword Extraction & Topic Modelling
LM Benchmarks
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Other
Android Development
CRISP-DM
GitHub Copilot
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matplotlib
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viralscope
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Collapse All ↑
k-Means
Type
Clustering
Similar concept to
k-Nearest Neighbors
.