oussamaErra

Allstate

Allstate kaggle competition solution

BNP-Paribas-competition-

averaging the prediction of an Xgboost , Random forest and an Extratrees

knocktober-2016

scores 0.74 AUC and finishing 34/1900 Participant

map_reduce-job-word_count

map reduce job word count

R-shiny-Apps

my shiny apps

spark-document-classification

spark apache document classification model

Talking_Data

TalkingData Kaggle competition submission

tf-2-tutorial-categorical-features-embedding

two-sigma-financial-modeling

7th place public LeadB solution, 51 private LeadB.

WNS_Solution-

Our Solution to the WNS competition.

oussamaErra/BNP-Paribas-competition-

averaging the prediction of an Xgboost , Random forest and an Extratrees

oussamaErra/map_reduce-job-word_count

map reduce job word count

oussamaErra/spark-document-classification

spark apache document classification model

oussamaErra/the-red-hat-business-value-competition-

some heavy features engineering followed with a blended model on the redhat data competition

oussamaErra/titanic.py

oussamaErra/titanic_mapreduce_analysis

compute a map reduce to analyze some of the titanic information

oussamaErra/DataProcessing_Python

Basic data processing functions

oussamaErra/information_value

oussamaErra/Kaggle-1

Code for Kaggle Competitions

oussamaErra/kaggle-airbnb-recruiting-new-user-bookings

2nd Place Solution in Kaggle Airbnb New User Bookings competition

oussamaErra/kaggle-coupon-purchase-prediction

Code for RECRUIT Challenge. 5th place.

oussamaErra/kaggle-coupon-purchase-prediction-1

map@10 0.0072 Kaggle-Recruit Coupon Purchase Prediction Challenge

oussamaErra/kaggle-coupon-purchase-prediction-2

oussamaErra/kaggle-Otto

12th solution for the Otto Group Product Classification Challenge on Kaggle

oussamaErra/py_ml_utils

Some small utility modules to help with pandas, numpy and sklearn usage in other projects

oussamaErra/RedHat-Business-Value-

heavy features engineering for the red hat business value competition.