Sentiment classification of movie review comments by Naive Bayesian Model (Java)
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Updated
Aug 4, 2016 - Java
Sentiment classification of movie review comments by Naive Bayesian Model (Java)
Simple scripts for computing information gains of attributes in a training table.
A few R programs to simulate many fundamental data mining algorithms
Sequential Minimal Optimization (SMO) algorithm for the training of Support Vector Machines (SVM)
Adaptive Reinforcement Learning of curious AI basketball agents
Greedy algorithm for classification tree
Implementation of Decision tree learning algorithm with chi-square pruning
My first attempt at Elixir, a basic implementation of decision trees.
Implementing decision tree using ID3 algorithm based on Information Gain and using post pruning for improving accuracy
Implemented Decision tree learning algorithm using ID3 with Information Gain Heuristic in Python and used Pandas for pre-processing data.
The need for missing value imputation is of extreme importance in big data applications as data volumes tend to grow exponentially and their data structures change rapidly.
In this project, we used 3 different metrics (Information Gain, Mutual Information, Chi Squared) to find important words and then we used them for the classification task. We compared the result at the end.
Implementing your own decision tree algorithms and applying them to real world data!
Feature Selection for Credit Scoring using Genetic Algorithm Wrapper(Information Gain)
Implementation of Decision Tree using two heuristics for Assignment 01 of the course CS6375: Machine Learning.
Applying different machine learning algorithms on PCGA Prostate Cancer Gene Dataset for Feature Selection, Dimensional Reduction and Classification and Regression
Implementation of decision tree using information gain
Experimental classification algorithms on german credit data implemented using scikit-learn library
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