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Machine Learning (Supervised learning :label: labels (k-Nearest Neighbors,…
Machine Learning
Supervised learning :label:
k-Nearest Neighbors
Linear Regression
Logistic Regresion
SVM:Support Vector Machines
Decision Trees and Random Forests
Neural Networks
Unsupervised Learning :grey_question:
Visualization and dimensionality reduction
PCA Principal Component Analysis
Kernel PCA
LLE Locally-Linear Embedding
t-SNE t-distributed Stochastic Neighbor Embedding
Association rule learning
Apriori
Eclat
Clustering
k-Means
HCA Hierarchical Cluster Analysis
Expectation Maximization
Semisupervised Learning :label: :heavy_plus_sign: :grey_question:
DBNs Deep Belief Networks
RBMs Restricted Boltzmann machines
Reinforcement Learning
Use of "labels" to feed the algorithm
Source: Hands-On Machine Learning with Scikit-Learning & TensorFlow
