2nd Place Solution in Kaggle Airbnb New User Bookings competition

🏁 API client for Kaggle

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

with Kaggle data

Entries for Kaggle All State

Machine Learning competition on kaggle.org. 88% accuracy with Support Vector Machine algorithm. Deep Learning with keras. Middle table rank position

Advanced Regression Techniques to predict housing prices.

Data for M5 Walmart Kaggle Competition

Kaggle Competition- Predict Future Sales

Entry for the Titanic: Machine Learning from Disaster competition on Kaggle.

R / Kaggle Competition / Rank 2nd - Classification algorithms to determine if a customer is going to answer positively to a Marketing campaign.

ML price prediction and cluster analysis on Kaggle competition NY Airbnb open data. Linear regression, Decision trees, Random Forest, Ranger RF, Neural Networks, K-mean, PCA, Hierarchical Clustering

Kaggle competition: Diagnose schizophrenia using multimodal features from MRI scans.

This analysis is about predicting the survival of a person onboard Titanic

Predicting which iPads listed on EBay will be sold Independent project - Kaggle competition as part of MIT course 15.071x The Analytic Edge

Exploratory Data Analysis on Titanic Dataset

Predicting the reason for employee attrition

Kaggle Competition. Using available data set provide analysis of the Titanic disaster.