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Datategy
- Paris, France.
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03:02
(UTC +02:00) - https://kennedyczar.github.io/
- in/kenneth-ezukwoke-4497b1155
Highlights
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Root-Cause-Analysis Public
Failure Root Cause Analysis
Jupyter Notebook GNU General Public License v3.0 UpdatedFeb 23, 2024 -
Jupyter Notebook Apache License 2.0 Updated
Dec 10, 2023 -
GCVAE Public
Generalized-Controllable Variational Autoencoder (GCVAE)
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Passive-Aggressive Algorithm and Active Passive-Aggressive Online Algorithm. Kernel Passive-Aggressive Algorithm.
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FORECASTING-1.0 Public
Predictive 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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Advance machine Learning: Kernel methods implemented for PCA, KMeans, Logistic Regression, Support Vector Machine (SVM) and Support Vector Data Description (SVDD)
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Forecast 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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Plotly-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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Social-Mining-Recommendation-System Public
Forked from beteko/Social-Mining-Recommendation-SystemDatamining for Big Data
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EIGEN FREQUENCY CLUSTERING USING [KMEANS] [KMEANS & PCA ] [DBSCAN] [HDBSCAN]
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disentanglement_lib Public
Forked from google-research/disentanglement_libdisentanglement_lib is an open-source library for research on learning disentangled representations.
Python Apache License 2.0 UpdatedMay 16, 2021 -
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flair Public
Forked from flairNLP/flairA very simple framework for state-of-the-art Natural Language Processing (NLP)
Python Other UpdatedJan 16, 2021 -
dopamine Public
Forked from google/dopamineDopamine is a research framework for fast prototyping of reinforcement learning algorithms.
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tensorforce Public
Forked from tensorforce/tensorforceTensorforce: a TensorFlow library for applied reinforcement learning
Python Apache License 2.0 UpdatedOct 4, 2020 -
bert Public
Forked from google-research/bertTensorFlow code and pre-trained models for BERT
Python Apache License 2.0 UpdatedOct 1, 2020 -
UNSUPERVISED-ANOMALY-DETECTION Public
Forked from PyAnomaly/UNSUPERVISED-ANOMALY-DETECTIONSupervised machine learning methods for novel anomaly detection.
Python MIT License UpdatedApr 3, 2020 -
URI-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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Transfer Learning and Optimal Transport. A demonstration of Subspace Alignment algorithm and Entropy Regularized Optimal Transport (Sinkhorn's Algorithm) on Office/Caltech dataset.
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SUPERVISED-ML Public
Forked from algostatml/SUPERVISED-MLSupervised machine learning algorithms explained with code
Jupyter Notebook MIT License UpdatedJan 31, 2020 -
UNSUPERVISED-ML Public
Forked from algostatml/UNSUPERVISED-MLUnsupervised machine learning algorithm. Classical and kernel methods for non-linearly seperable data.
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edward Public
Forked from blei-lab/edwardA probabilistic programming language in TensorFlow. Deep generative models, variational inference.
Jupyter Notebook Other UpdatedOct 22, 2019 -
ACMSIGCHI_UMCIT2019 Public
User Modeling and Personalization in Urban Computing
Jupyter Notebook MIT License UpdatedSep 17, 2019 -
Django application for automatically populating a postgre database and manipulating the frontend of the application. Users can easily search keywords from the frondend and save query result in diff…
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Exploring a hosing dataset to find insights, trend and feature correlations among categories
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Semi-supervised machine learning for text classification. Increased accuracy of 99% on unlabelled data.
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An implementation of the travelling salesman problem using Brute-force, Branch-and-bound, removing-edges, MST-approximationn, Nearest_neighbour(greedy), Dynamic Programming, Randomized approach, Ge…
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Implementation of hierarchical clustering on small n-sample dataset with very high dimension. Together with the visualization results implemented in R and python
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Algorithms Public
Forked from williamfiset/algorithmsA collection of algorithms