Boston Housing Prediction - 2nd project for Udacity's Machine Learning Nanodegree
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Updated
Feb 9, 2017 - HTML
Boston Housing Prediction - 2nd project for Udacity's Machine Learning Nanodegree
Supervised ML models to predict student's performance in high school
Predict survival outcomes for Titanic passengers using Decision Trees.
Titanic Survival Exploration with NumPy, Pandas and Scikit-Learn
Analysis on hospital readmission data for diabetic patients using R and Tableau
Building a model for identifying potential Enron fraudsters based on financial and e-mail data with the use of Python. From data exploration to building and validating an algorithm.
Place for my work on the Machine Learning A-Z Udemy Course
Machine Learning Project to build an algorithm which identifies Enron Employees who may have committed fraud based on the public Enron financial and email dataset.
Predictive Machine Learning projects
This project includes implementation of supervised machine learning algorithms in R language.
Investigated factors that affect the likelihood of charity donations being made based on real census data. Developed a naive classifier to compare testing results to. Trained and tested several supervised machine learning models on preprocessed census data to predict the likelihood of donations. Selected the best model based on accuracy, a modif…
This repository contains solutions to marketing problems using statistical analysis
Research work on credit scoring using geospatial data and techniques
Tutorials of Machine Learning in Jupyter Notebooks
Data Science Experiments
A machine learning model to predict potential donors for charity.
Project 2 of Udacity MLND.
Development optimal classifiers to predict the positions of the user based on the RSSI readings from iBeacon devices
Constrained optimization problems, including linear,network, dynamic,integer, and nonlinear programming, decision trees, queueing theory and Markov decision processes.
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