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Folder: act-1-machine-Learning/3-All-Machine-Learning-Models
36 items under this folder.
Jan 28, 2024
clustering-algorithms
Jan 28, 2024
ROC
Jan 28, 2024
NLP
Jan 28, 2024
BoW
Jan 28, 2024
2.X Monte Carlo Simulation
Jan 28, 2024
2.X Algorithms and Deep Learning
Jan 28, 2024
2.9.3 Radial Basis Function
Jan 28, 2024
2.9.2 Support Vector Machines
Jan 28, 2024
2.9.1 Support Vector Classifiers
Jan 28, 2024
2.8 XG-Boost
Jan 28, 2024
2.7 Gradient Boosting
Jan 28, 2024
2.6 Ada-Boost
#ensemble
Jan 28, 2024
2.5 KNN
Jan 28, 2024
2.5 Bagging and Boosting
Jan 28, 2024
2.4 Random Forests
Jan 28, 2024
2.3 Decision Trees
Jan 28, 2024
2.21 Page Rank
Jan 28, 2024
2.21 Matrix Factorization for Recsys
Jan 28, 2024
2.20 Recommender Systems
Jan 28, 2024
2.2 Logistic Regression
Jan 28, 2024
2.19 Time Series Models
Jan 28, 2024
2.18 Monte-Carlo
Jan 28, 2024
2.17 Correlation Matrices and Heatmaps
Jan 28, 2024
2.16 Hyperparameter Tuning
Jan 28, 2024
Gaussian Mixture Models
#gaussian
Jan 28, 2024
2.14 Clustering (5 Models)
Jan 28, 2024
2.13 UMAP
Jan 28, 2024
2.13 Factor Analysis of Correspondences
Jan 28, 2024
2.12.1 t-SNE
Jan 28, 2024
Principal Component Analysis
#pca
Jan 28, 2024
Independent Component Analysis
#ica
Jan 28, 2024
2.11 Gaussian Naive Bayes
Jan 28, 2024
Word2Vec
#nlp
#word2vec
Jan 28, 2024
2.10 Multinomial Naive Bayes
Jan 28, 2024
Linear Regression
#machinelearningmodel
#iconic
#linear-regression
#regression
Jan 28, 2024
2.0 Preface