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
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
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
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.
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.
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)
Active-learning-and-online-learning-machine-learning-algorithms.
Passive-Aggressive Algorithm and Active Passive-Aggressive Online Algorithm. Kernel Passive-Aggressive Algorithm.
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
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
EditDistanceAdvanceAlgoProject
Minimum Edit Distance (Advance Algorithm Project)- Implementing Dynamic, Greedy, Branch and Bound, K-strip Algo
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.
EIGEN-FREQUENCY-CLUSTERING-USING-KMEANS-DBSCAN-PCA-HDBSCAN
EIGEN FREQUENCY CLUSTERING USING [KMEANS] [KMEANS & PCA ] [DBSCAN] [HDBSCAN]
SEMI-SUPERVISED-NAIVE-BAYES-FOR-TEXT-CLASSIFICATION
Semi-supervised machine learning for text classification. Increased accuracy of 99% on unlabelled data.
Social-Mining-Recommendation-System
Datamining for Big Data
ACMSIGCHI_UMCIT2019
User Modeling and Personalization in Urban Computing
Algorithms
A collection of algorithms
DATA-MINING-AND-INSGIGHT-EXPLORATION
Exploring a hosing dataset to find insights, trend and feature correlations among categories
disentanglement_lib
disentanglement_lib is an open-source library for research on learning disentangled representations.
Root-Cause-Analysis
Failure Root Cause Analysis
SUPERVISED-ML
Supervised machine learning algorithms explained with code
tensorforce
Tensorforce: a TensorFlow library for applied reinforcement learning
UNSUPERVISED-ANOMALY-DETECTION
Supervised machine learning methods for novel anomaly detection.
UNSUPERVISED-ML
Unsupervised machine learning algorithm. Classical and kernel methods for non-linearly seperable data.