Classification Techniques
To install dependencies used by this repo, run the following in your terminal
pip install requirements.txt
Classification
- You might wanna read the intro to ML, if you are starting to explore this realm of machine learning.
Is a supervised learning, in which the machine tries to learn from the given dataset and this learning to classify new observations.
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Binary Classification: distinguishing between female and male, dog and cat, malware-analysis, classify 2 distinct classes, in short.
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Multi-class Classification: speech recognition, handwriting recognition, bio metric identification, boats classification
What are types of classification algorithms?
- Linear Classifiers: Logistic Regression, Naive Bayes Classifier
- Support Vector Machines (SVM)
- Decision Trees
- Boosted Trees
- Random Forest (ensemble learning method)
- Neural Networks
- Nearest Neighbor (k-nearest-neighbors)