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Datategy
- Paris, France.
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20:25
(UTC +02:00) - https://kennedyczar.github.io/
- in/kenneth-ezukwoke-4497b1155
Highlights
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ADVANCE-MACHINE-LEARNING-KERNEL-METHOD
ADVANCE-MACHINE-LEARNING-KERNEL-METHOD PublicAdvance machine Learning: Kernel methods implemented for PCA, KMeans, Logistic Regression, Support Vector Machine (SVM) and Support Vector Data Description (SVDD)
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EIGEN-FREQUENCY-CLUSTERING-USING-KMEANS-DBSCAN-PCA-HDBSCAN
EIGEN-FREQUENCY-CLUSTERING-USING-KMEANS-DBSCAN-PCA-HDBSCAN PublicEIGEN FREQUENCY CLUSTERING USING [KMEANS] [KMEANS & PCA ] [DBSCAN] [HDBSCAN]
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FORECASTING-1.0
FORECASTING-1.0 PublicPredictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy
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URI-URL-CLASSIFICATION-USING-RECURRENT-NEURAL-NETWORK-SVM-AND-RANDOMFOREST
URI-URL-CLASSIFICATION-USING-RECURRENT-NEURAL-NETWORK-SVM-AND-RANDOMFOREST PublicURI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_s…
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NLP-PROJECT-BOOK-INSIGHTS-WITH-PLOTLY
NLP-PROJECT-BOOK-INSIGHTS-WITH-PLOTLY PublicPlotly-Dash NLP project. Document similarity measure using Latent Dirichlet Allocation, principal component analysis and finally follow with KMeans clustering. Project is completed with dynamic vis…
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STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA
STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA PublicForecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Se…
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