Alternatives and similar repositories for XGBoost-on-Bankruptcy-Dataset-Imbalance-Data

Users that are interested in XGBoost-on-Bankruptcy-Dataset-Imbalance-Data are comparing it to the libraries listed below

• dimitreOliveira / StoreItemDemand
  (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.
  ☆25Updated 6 years ago
• jalajthanaki / Customer_lifetime_value_analysis
  Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.
  ☆48Updated 7 years ago
• anurag-code / Survival-Analysis-Intuition-Implementation-in-Python
  Quick Implementation in python
  ☆53Updated 5 years ago
• KSpiliop / Fraud_Detection
  Tuning XGBoost hyper-parameters with Simulated Annealing
  ☆53Updated 8 years ago
• datacamp / datacamp_facebook_live_ny_resolution
  In this Facebook live code along session with Hugo Bowne-Anderson, you're going to check out Google trends data of keywords 'diet', 'gym'…
  ☆44Updated 7 years ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆62Updated 3 years ago
• mcabinaya / Bank-Marketing-Data-Analysis
  Machine Learning/Pattern Recognition Models to analyze and predict if a client will subscribe for a term deposit given his/her marketing …
  ☆15Updated 7 years ago
• kirrlix1994 / Retail_hero
  Reatail-hero X5 contest
  ☆14Updated last year
• mattmurray / topic_modelling_financial_news
  Topic modelling on financial news with Natural Language Processing
  ☆59Updated 8 years ago
• aryancodify / Clustering
  Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.
  ☆35Updated 7 years ago
• fxing79 / ibaa
  A public available dataset for using market sentiment for financial asset allocation.
  ☆23Updated 6 years ago
• SeanPLeary / time-series-h2o-automl-example
  Time-series forecasting using H2O's AutoML example
  ☆47Updated 6 years ago
• GitiHubi / deepAD
  Detection of Accounting Anomalies in the Latent Space using Adversarial Autoencoder Neural Networks - A lab we prepared for the KDD'19 Wo…
  ☆87Updated 6 years ago
• FelixChop / MediumArticles
  Sample of Python codes from mathematical problems
  ☆110Updated 6 years ago
• PacktPublishing / Hands-On-Ensemble-Learning-with-Python
  Hands-On Ensemble Learning with Python, published by packt publishing
  ☆54Updated 2 years ago
• GitiHubi / deepAI
  Detection of Accounting Anomalies using Deep Autoencoder Neural Networks - A lab we prepared for NVIDIA's GPU Technology Conference 2018 …
  ☆207Updated 6 years ago
• ritvikmath / nlp-recipe-project
  Natural Language Recipe Project
  ☆15Updated 2 years ago
• jimmycy93 / Credit-Card-Fraud-Detection
  A project on machine learning techniques dealing with imbalanced classification (Python)
  ☆12Updated 8 years ago
• MaartenGr / feature-engineering
  Tips for Advanced Feature Engineering
  ☆53Updated 5 years ago
• Pierian-Data / AutoArima-Time-Series-Blog
  This is the code notebook for the blog post on using Python and Auto ARIMA
  ☆104Updated 6 years ago
• pourya-ir / Medium
  ☆49Updated 6 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• hugopalmer / assortment_optimization
  Source code from my Master's thesis @Polytechnique Montréal. A solution to the assortment optimization problem, able to deal with large n…
  ☆19Updated 8 years ago
• dushyantkhosla / ts-forecasting-ensemble
  CentOS based Docker container for Time Series Analysis and Modeling.
  ☆22Updated 6 years ago
• Csinclair0 / feature_learning
  feature weight learning based off similarity based clustering
  ☆25Updated 5 years ago
• LevinJ / Supply-demand-forecasting
  supply demmand gap prediction for ride-hailing
  ☆76Updated 7 years ago
• MBKraus / Predicting_real_estate_prices_using_scikit-learn
  Predicting Amsterdam house / real estate prices using Ordinary Least Squares-, XGBoost-, KNN-, Lasso-, Ridge-, Polynomial-, Random Forest…
  ☆170Updated 6 years ago
• scoliann / GeneticAlgorithmFeatureSelection
  A simple example of how a genetic algorithm can be used to select the optimal subset of features to use for machine learning problems.
  ☆69Updated 8 years ago
• tomonori-masui / time-series-forecasting
  Multi-step Time Series Forecasting with ARIMA, LightGBM, and Prophet
  ☆25Updated 10 months ago
• sudhamstarun / Understanding-Financial-Reports-using-Natural-Language-Processing
  Investigate how mutual funds leverage credit derivatives by studying their routine filings to the SEC using NLP techniques 📈🤑
  ☆53Updated 9 months ago