DRRANAMOHAMMED
Rana mohammed, on the surface, is an extremely accomplished financial analyst , with a years of experience in the financial markets , computer science and tech.
china
DRRANAMOHAMMED's Stars
harishpuvvada/LoanDefault-Prediction
Lending Club Loan data analysis
devcrux/FashionApp
Beautiful Fashion App Design Using Xamarin Forms
ahcantao/PSOFeatureSelection
A Particle Swarm Optimization (PSO) for Feature Selection. Using PySwarm.
jgcorliss/lending-club
Applying machine learning to predict loan charge-offs on LendingClub.com
Younes-Charfaoui/Feature-Selection-Techniques
Python code source for features selection 👨🔬 series on medium website. 📰
andpol5/credit-classifier
German Credit Classifier
iAmServerless/Blind-Signature
Blind Signature Using RSA and Elgamal
elbasir/DeepCrystal
DeepCrystal: A Deep Learning Framework for sequence-based Protein Crystallization Prediction
Apress/learn-android-studio
Source code for 'Learn Android Studio' by Clifton Craig and Adam Gerber
agoscinski/EnsembleMethodsForFeatureSelection
By applying ensemble methods we improve the robustness of feature selection methods.
numb3r33/Loan-Default-Prediction
This competition asks you to determine whether a loan will default, as well as the loss incurred if it does default.
LubnaAlhenaki/Arabic-PoetryClassificationProblem
Build a classification model that can classify Arabic poetry based on the poet origin
RajanMehta/Predicting-Bad-Loans
Predicting loan defaults
ViditKalani/Logistic-Regression-Result-and-compare-that-result-to-kNN-Classifier-Model-using-R
German Credit Dataset
anshuljain26/Loan_prediction
Used Random Forest classifier to predict whether the loan will get approved or not
commit-live-students/Statlog-German_Credit_Data-_project
KSingh28/LoanPrediction_III
RandomForest_Predictive Modeling_Classification
lucasjliu/fs_knn
Basic search-based feature selection
sumedhas/Linear-Regression-k-means-and-k-nn-on-large-datasets
Data Analysis using Linear Regression on NHL db, k-means on Pew Research data and k-nn on German Credit data.
WedamN/German_Credit_Classifier
A k-NN classifier is built on a German credit dataset with 1000 observations (customers) and 21 variables.