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Applications of Machine Learning | Identifying song, images, foercasting, classificationm detection, crime investigationm Insurance detection | ![]() |
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Regression 1 | Least Square, Maximum | ![]() |
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Regression 2 | Least Square, Maximum | ![]() |
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Regression 3 | Likelihood, Ordinary Regression | ![]() |
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Regulaization 4 | Ridge and Lasso Regression | ![]() |
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Regulaization 5 | Ridge and Lasso Regression | ![]() |
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Load Forecasting | ![]() |
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Random Forest 1 | Random Forest | ![]() |
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Random Forest 2 | Random Forest, Tree, Bagging | ![]() |
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Classification | Logistic Regression | ![]() |
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Random Forest | Random Forest, Tree, Bagging | ![]() |
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Boosting | Gradient Boosting Machine, Boosting | ![]() |
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Kernel Method 1 | Support vector machine, Kernel Density Estimation, Nadaraya-Watson Model | ![]() |
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Kernel Method 2 | Support vector machine, Kernel Density Estimation, Nadaraya-Watson Model | ![]() |
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Kernel Method 3 | Support vector machine, Kernel Density Estimation, Nadaraya-Watson Model | ![]() |
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Kernel Method 4 | Support vector machine, Kernel Density Estimation, Nadaraya-Watson Model | ![]() |
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Kernel Method 5 | Support vector machine, Kernel Density Estimation, Nadaraya-Watson Model | ![]() |
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Clsutering(Smart grid project) 1 | Hierarchical Clustering, K-means Clustering, Nearest Neighorhood | ![]() |
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Clsutering 2 | Hierarchical Clustering, K-means Clustering, Nearest Neighorhood | ![]() |
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Smart Grid | Smart Grid | ![]() |
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Deep Learning 1 | Deep Learning, Convolutional Neural Network | ![]() |
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Deep Learning 2 | Deep Learning, Convolutional Neural Network | ![]() |