Machine-Learning-on-UCI-Datasets

Machine Learning on UCI Datasets

Classification using KNN on verteberal column Dataset.
Predict the net hourly electrical energy output of a plant using Linear Regression & KNN Regression.
Time Series Classification of human activities based on time series obtained by a Wireless Sensor Network using L1-Penalised Logistic Regression and L1 Penalised Multinomial Regression Model.
Lasso and Boosting for Regression on Crime Dataset.
Clasfication on APS failure Dataset using Tree-Based Methods (Random Forests, Model Trees, (used SMOTE for imbalanced classification)
Multiclass and multilable classification using SVM on Anuran Calls Dataset (identifying fish genetics)
Classification using Supervised, Semi-supervised and unsupervised on Breast Cancer Dataset.
Demonstrated (Monte-Carlo Simulation) Active learning and passive learning on BankNote Authentication Dataset.
Generative models for Text - Mimic the writing style of Russles using LSTM and A Hidden Markov Model
CNN for image colorization on CIFAR Dataset.

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
KNN		KNN
LSTM and Cnns for colorization on CIFAR dataset		LSTM and Cnns for colorization on CIFAR dataset
Lasso, Boosting and Tree Based Methods		Lasso, Boosting and Tree Based Methods
LinearRegression		LinearRegression
Multiclass and Multilabel SVM and Kmeans clustering		Multiclass and Multilabel SVM and Kmeans clustering
Semi-supervised and Supervised and Active Learning using SVMs		Semi-supervised and Supervised and Active Learning using SVMs
TimeSeriesCallisification\|MutliclassLogistic Regression		TimeSeriesCallisification\|MutliclassLogistic Regression
.DS_Store		.DS_Store
README.md		README.md

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