KazukiOnodera / Home Credit Default Risk
2nd Place Solution 💰🥈
Stars: ✠175
Labels
Projects that are alternatives of or similar to Home Credit Default Risk
Ipynb
Package / Module importer for importing code from Jupyter Notebook files (.ipynb)
Stars: ✠174 (-0.57%)
Mutual labels: jupyter-notebook
Introduction To Time Series Forecasting Python
Introduction to time series preprocessing and forecasting in Python using AR, MA, ARMA, ARIMA, SARIMA and Prophet model with forecast evaluation.
Stars: ✠173 (-1.14%)
Mutual labels: jupyter-notebook
Prml
Python implementations (on jupyter notebook) of algorithms described in the book "PRML"
Stars: ✠174 (-0.57%)
Mutual labels: jupyter-notebook
Iocaml
An OCaml kernel for the IPython notebook
Stars: ✠173 (-1.14%)
Mutual labels: jupyter-notebook
Mpld3
mpld3 provides a custom stand-alone javascript library built on D3, which
parses JSON representations of plots. The mpld3 python module provides a
set of routines which parses matplotlib plots (using the
mplexporter framework) and outputs
the JSON description readable by mpld3.js.
Stars: ✠2,121 (+1112%)
Mutual labels: jupyter-notebook
Osvos Caffe
One-Shot Video Object Segmentation
Stars: ✠173 (-1.14%)
Mutual labels: jupyter-notebook
Pytorch sac
PyTorch implementation of Soft Actor-Critic (SAC)
Stars: ✠174 (-0.57%)
Mutual labels: jupyter-notebook
Provingground
Proving Ground: Tools for Automated Mathematics
Stars: ✠173 (-1.14%)
Mutual labels: jupyter-notebook
Annotated Transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
Stars: ✠2,403 (+1273.14%)
Mutual labels: jupyter-notebook
Kdd18 Gluon
KDD18 Tutorial: Deep Learning and Natural Language Processing with Apache MXNet (Incubating) Gluon
Stars: ✠174 (-0.57%)
Mutual labels: jupyter-notebook
Evolutionary Computation Course
Jupyter/IPython notebooks about evolutionary computation.
Stars: ✠173 (-1.14%)
Mutual labels: jupyter-notebook
Deep Crowd Counting crowdnet
An independent implementation of "CrowdNet: A Deep Convolutional Network for Dense Crowd Counting"
Stars: ✠173 (-1.14%)
Mutual labels: jupyter-notebook
Time series prediction
This is the code for "Time Series Prediction" By Siraj Raval on Youtube
Stars: ✠174 (-0.57%)
Mutual labels: jupyter-notebook
Clinicalbert
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
Stars: ✠175 (+0%)
Mutual labels: jupyter-notebook
Deep Algotrading
A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading
Stars: ✠173 (-1.14%)
Mutual labels: jupyter-notebook
Machine Learning And Reinforcement Learning In Finance
Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering
Stars: ✠173 (-1.14%)
Mutual labels: jupyter-notebook
Home-Credit-Default-Risk
LeaderBoard: https://www.kaggle.com/c/home-credit-default-risk/leaderboard
Discussion: https://www.kaggle.com/c/home-credit-default-risk/discussion/64722
I was in charge of feature engineering in this team.
Following are the features I made
Features
1. Current Application
- Simple calculation(delta, ratio, etc...)
2. Previous Application
- Aggregated features(all, 1year, 2years, 3years)
- last and first application
3. POS CASH balance
- Aggregated features(all, 1year, 2years, 3years)
4. Installments Payments
- Aggregated features(all, 1year, 2years, 3years)
5. Credit Card Balance
- Aggregated features(all, 1year, 2years, 3years)
6. Bureau
- Aggregated features(all, 1year, 2years, 3years)
- last and first application
7. Bureau Balance
- Aggregated features(all, 1year, 2years, 3years)
8. Other
- Aggregated features using above data(all, 1year, 2years, 3years)
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].