The data complexity library, DCoL, is a machine learning software that implements all metrics to characterize the apparent complexity of classification problems. The code is implemented in C++ and can be run on multiple platforms.
banter is a package for creating hierarchical acoustic event classifiers out of multiple call type detectors.
Building a Logistic regression model for the prediction of Sales and implementing it in a web app based on Python 🐍
Reviews can make or break a product; as a result, many companies take drastic measures to ensure that their product receives good reviews. When it comes to board games, reviews and word-of-mouth are everything. In this project, we will be using a linear regression model to predict the average review a board game will receive based on characteris…
Interactive visualizations for protein complexes from hu.MAP 1.0 and hu.MAP 2.0 by Super.Complex and CORUM
Predict donors using supervised learning, ensemble methods and data science
Udacity Nanodegree - Machine Learning - Supervised Learning, Unsupervised Learning, and Reinforcement Learning
Finding out the donors who earn more than $50K annually using Machine Learning
The goal of the project is to build a predictive model using machine learning concepts to predict customer attrition for a telecom service company.
Modelo para predecir polaridad en mensajes de Twitter durante el plebiscito en Colombia
Finding doners for charityML
This repo contains the projects I have built for Udacity's ML Nanodegree program that I'm currently pursuing
A Simple Machine Learning model based on Supervised Learning where it finds all the donors having an income more than 50K.
Udacity x Bertelsmann Scholarship - Introduction to Machine Learning with TensorFlow
Data collected for housing prices in the Boston, Massachusetts area to predict the selling price of a new home.
Udacity DataScience nanodegree classification problem
Supervised algorithms are used to predict whether an individual's incoming surpasses a certain threshold. Surpassing this threshold in its turn is considered to be a good predictor for becoming a donor.
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