Given activity of 2 users on Twitter, predict who is more influential among them
Apache Spark Machine Learning
Accurately detect fraud for our online ticket marketplace client.
This project focuses on classifying listeners of a music website into adopters and non-adopters
A way to predict an NBA's players chance of making a shot using machine learning
Crystal Scoring API for PMML
My submission for machine learning challenge #2, organised by hackerEarth.
Finding Donors for CharityML using Gradient Boosting Classifier, Ada Boost Classifier and Logistic Regression
Prediction of person committing a crime in future based on his record using GradientBoostingClassifier for classification
Models and code for the Kaggle KKBox Music Recommendation Competition
In this project, we will apply supervised learning techniques and an analytical mind on data collected for the U.S. census to help CharityML (a fictitious charity organization) identify people most likely to donate to their cause.
Predict sales prices and practice feature engineering, RFs, and gradient boosting
Tuning hyperparams fast with Hyperband
Finding Donor for CharityML - Machine Learning Nanodegree from Udacity
How to predict whether blight fines in Detroit will be paid in time?
Applying Supervised learning techniques on data to help CharityML identify people most likely to donate to their cause.
GlassDoor Machine Learning Challange to predict which users would press submit button on basis of features given.
Example of MLflow usage for a kaggle competition (Santander 2019)
A credit card fraud detection algorithm.
In this challenge we have given a directed social graph, and we have to predict missing links to recommend users (Link Prediction in graph)
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