Edd's Harbor ⛵
LinkedIn
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Application Design
How to Create Your Own CLI
Polyglot Programming
Books I've Read (Technical)
Designing Machine Learning Systems
Hands on ML with Scikit-Learn, Keras & Tensorflow
Natural Language Processing with Python
Jekyll
Commands
Gem Isolation
Glossary
Notes
Quickstart
Machine Learning
0. Glossary
1. ML Domain
2. Notes
3. Exploratory Data Analysis (EDA)
4. Scaling
5. Metrics & Loss Functions
6. Code Snippets
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
Notes
Other
Android Development
CRISP-DM
GitHub Copilot
Python
matplotlib
Projects 💻
viralscope
yelp-help
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Cross-Industry Standard Process for Data Mining
Source:
CRISP-DM: das Standard-Vorgehensmodell für Data Mining
Source: CRISP-DM: das Standard-Vorgehensmodell für Data Mining
Source: CRISP-DM: das Standard-Vorgehensmodell für Data Mining