KennedyWolfie (kennedyCzar)

kennedyCzar

Geek Repo

Company:Datategy

Location:Paris, France.

Home Page:https://kennedyczar.github.io/

Github PK Tool:Github PK Tool


Organizations
algostatml
FA4-0
fibai
PyAnomaly
q-vision

KennedyWolfie's repositories

STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA

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 Select Tradeable Stocks

Language:Jupyter NotebookLicense:MITStargazers:116Issues:7Issues:0

FORECASTING-1.0

Predictive algorithm for forecasting the mexican stock exchange. Machine Learning approach to forecast price and Indicator behaviours of MACD, Bollinger and SuperTrend strategy

Language:PythonLicense:MITStargazers:36Issues:5Issues:1

URI-URL-CLASSIFICATION-USING-RECURRENT-NEURAL-NETWORK-SVM-AND-RANDOMFOREST

URI-URL Classification using Recurrent Neural Network, Support Vector and RandomForest. The Implementation results follows with classification report, confusion matrix and precision_recall_fscore_support for each validation result of a 10-fold crossval

Language:PythonLicense:MITStargazers:19Issues:1Issues:1

NLP-PROJECT-BOOK-INSIGHTS-WITH-PLOTLY

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 visual interaction.

Language:PythonLicense:MITStargazers:11Issues:2Issues:0

TRANSFER-LEARNING-AND-OPTIMAL-TRANSPORT

Transfer Learning and Optimal Transport. A demonstration of Subspace Alignment algorithm and Entropy Regularized Optimal Transport (Sinkhorn's Algorithm) on Office/Caltech dataset.

Language:PythonLicense:MITStargazers:10Issues:0Issues:0

ADVANCE-MACHINE-LEARNING-KERNEL-METHOD

Advance machine Learning: Kernel methods implemented for PCA, KMeans, Logistic Regression, Support Vector Machine (SVM) and Support Vector Data Description (SVDD)

Language:PythonLicense:MITStargazers:8Issues:1Issues:0

Active-learning-and-online-learning-machine-learning-algorithms.

Passive-Aggressive Algorithm and Active Passive-Aggressive Online Algorithm. Kernel Passive-Aggressive Algorithm.

Language:TerraLicense:MITStargazers:7Issues:1Issues:0

HIGH-DIMENSIONAL-DATA-CLUSTERING

Implementation of hierarchical clustering on small n-sample dataset with very high dimension. Together with the visualization results implemented in R and python

Language:PythonLicense:MITStargazers:6Issues:1Issues:0

ADVANCE-ALGORITHMS-TRAVELLING-SALESMAN-PROBLEM

An implementation of the travelling salesman problem using Brute-force, Branch-and-bound, removing-edges, MST-approximationn, Nearest_neighbour(greedy), Dynamic Programming, Randomized approach, Genetic programming

Language:JavaLicense:GPL-3.0Stargazers:5Issues:0Issues:0

EditDistanceAdvanceAlgoProject

Minimum Edit Distance (Advance Algorithm Project)- Implementing Dynamic, Greedy, Branch and Bound, K-strip Algo

Language:PythonLicense:GPL-3.0Stargazers:3Issues:2Issues:0

POSTGRE-DATABASE-MANAGEMENT-USING-DJANGO-REST-API

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 different formats.

Language:HTMLLicense:MITStargazers:3Issues:1Issues:0

EIGEN-FREQUENCY-CLUSTERING-USING-KMEANS-DBSCAN-PCA-HDBSCAN

EIGEN FREQUENCY CLUSTERING USING [KMEANS] [KMEANS & PCA ] [DBSCAN] [HDBSCAN]

Language:PythonLicense:MITStargazers:2Issues:2Issues:0

SEMI-SUPERVISED-NAIVE-BAYES-FOR-TEXT-CLASSIFICATION

Semi-supervised machine learning for text classification. Increased accuracy of 99% on unlabelled data.

Language:PythonLicense:MITStargazers:2Issues:1Issues:0
Language:Jupyter NotebookStargazers:1Issues:1Issues:0

ACMSIGCHI_UMCIT2019

User Modeling and Personalization in Urban Computing

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

Algorithms

A collection of algorithms

Language:JavaLicense:MITStargazers:0Issues:1Issues:0

bert

TensorFlow code and pre-trained models for BERT

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

DATA-MINING-AND-INSGIGHT-EXPLORATION

Exploring a hosing dataset to find insights, trend and feature correlations among categories

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

disentanglement_lib

disentanglement_lib is an open-source library for research on learning disentangled representations.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

dopamine

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:1Issues:0

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Language:Jupyter NotebookLicense:NOASSERTIONStargazers:0Issues:1Issues:0

flair

A very simple framework for state-of-the-art Natural Language Processing (NLP)

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

GCVAE

Generalized-Controllable Variational Autoencoder (GCVAE)

Language:Jupyter NotebookLicense:MITStargazers:0Issues:2Issues:0
Language:Jupyter NotebookLicense:Apache-2.0Stargazers:0Issues:1Issues:0
Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

Root-Cause-Analysis

Failure Root Cause Analysis

Language:Jupyter NotebookLicense:GPL-3.0Stargazers:0Issues:0Issues:0

SUPERVISED-ML

Supervised machine learning algorithms explained with code

Language:Jupyter NotebookLicense:MITStargazers:0Issues:1Issues:0

tensorforce

Tensorforce: a TensorFlow library for applied reinforcement learning

License:Apache-2.0Stargazers:0Issues:0Issues:0

UNSUPERVISED-ANOMALY-DETECTION

Supervised machine learning methods for novel anomaly detection.

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

UNSUPERVISED-ML

Unsupervised machine learning algorithm. Classical and kernel methods for non-linearly seperable data.

Language:PythonLicense:MITStargazers:0Issues:1Issues:0