mythicalprogrammer

Beasty

XNA Real Time Gunbound Game, C# Programming Language.

Bioinformatic-Programming-Python-

Bioinformatic Programming (Python)

cs100

Software Engineering Class at UCR, it's a very old project way back then

cs141

My codes for Algorithm class @ UCR

cs152

My codes for Compilers Class at UCR (I lost some of the codes..)

cs161

Unfortunately, I don't have my VHDL codes, I'll try to get it from my partner

KYHO--Knock-Your-Heart-Out

Fitness Website program, Messing Around with Yii, bit of an old project

thesis_cerp_guide_forest

Rewrite code that is data agnostic for building cerp guide forest.

thesis_prostate_cancer_CERP_GUIDE_no_prune_CERP_ensemble_of_forests

timeseries_meetup

Using the fpp2 book and library examples.

mythicalprogrammer/thesis_cerp_guide_forest

Rewrite code that is data agnostic for building cerp guide forest.

mythicalprogrammer/thesis_prostate_cancer_CERP_GUIDE_no_prune_CERP_ensemble_of_forests

mythicalprogrammer/10_CERP_GUIDE_find_optimal_number_of_ensemble_prune_default_setting

Second rewrite and 5th simulations.

mythicalprogrammer/DrivenData-Flu-Shot-Learning-Predict-H1N1-and-Seasonal-Flu-Vaccines

mythicalprogrammer/edgarWebR

R package for interacting with the SEC's EDGAR filing search and retrieval system

mythicalprogrammer/elixir_genserver_practice

mythicalprogrammer/Financial-Statements-Text-Analysis

Documentation and code for downloading, cleaning, munging, and analyzing financial statements filed by publicly traded companies with the SEC

mythicalprogrammer/fumigate

mythicalprogrammer/fumigate_rewrite

mythicalprogrammer/GUIDE_Tree_pure_R_implementation

mythicalprogrammer/master_thesis

Random Forest is one of the widely used tree-based ensemble classification algorithms. Many aspects of building tree ensembles are introduced to reduce correlation among decision trees within the forest. Bootstrap is used in Random Forest to reduce bias decision tree and to decide splits in every decision tree. Classification by Ensembles from Random Partitions (CERP) is a different algorithm to create an ensemble. CERP randomly partitions the data instead of using bootstrap and creates multiple ensembles instead of one. A forest consists of several decision trees, an ensemble of trees. While Random Forest builds a forest, CERP builds an ensemble of forests. A base classifier in Random Forest uses an exhaustive search to find a split. On the other hand, the Generalized, Unbiased, Interaction Detection and Estimation (GUIDE) algorithm uses statistical hypothesis testing, which is faster than exhaustively search algorithms and is able to detect interaction using a statistical method. This thesis investigated tree-based ensemble classification algorithms that include the CERP, GUIDE, and Random Forest for genetic data.

mythicalprogrammer/mythicalprogrammer.github.io

mythicalprogrammer/nakedandfamousdenimTateYokoScraper

mythicalprogrammer/prostate_cancer_AUC_Confusion_matrix

mythicalprogrammer/riff_admin

BaubleBox's Internal Admin Tool

mythicalprogrammer/slax

mythicalprogrammer/Taex

Technical Analysis library for Elixir

mythicalprogrammer/tateandyokoNFdump

mythicalprogrammer/the_little_elixir_and_otp_guidebook

mythicalprogrammer/thesis_GDS531_data_anova

mythicalprogrammer/thesis_logitboost_myeloma_cancer

mythicalprogrammer/thesis_myeloma_cancer_random_forest_imbalance_data_loocv_fix

mythicalprogrammer/thesis_other_model_logitboost_playing_around_package

mythicalprogrammer/thesis_other_model_xgboost

mythicalprogrammer/thesis_prostate_cancer_CERP_GUIDE_pruned_vs_no_prune

Code to create graph about pruned and unpruned data. Check out the pdf. Optimal partition number for pruned CERP-GUIDE forest is 825. For optimal number of partitions for unpruned CERP-GUIDE forest is 833.

mythicalprogrammer/thesis_prostate_cancer_CERP_GUIDE_random_forest_trees_accuracy

mythicalprogrammer/thesis_prostate_cancer_CERP_GUIDE_vs_Random_Forest

mythicalprogrammer/thesis_random_forest_myeloma_cancer

mythicalprogrammer/thesis_xgboost_myeloma_cancer

mythicalprogrammer/tulipindicators

Technical Analysis Indicator Function Library in C