Code for the CUP Elements on text analysis in Python for social scientists

MachineShop: R package of models and tools for machine learning

Website sources for Applied Machine Learning for Tabular Data

This repository contains the code and datasets for creating the machine learning models in the research paper titled "Time-series forecasting of Bitcoin prices using high-dimensional features: a machine learning approach"

Framework to evaluate Trajectory Classification Algorithms

Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we are going to take a look at the UpGrad lead scoring case study and see how can we solve this problem through several supervised machine learning models.

A scikit-learn compatible hyperbox-based machine learning library in Python

En este proyecto de GitHhub podrás encontrar parte del material que utilizo para impartir las clases de Introducción a la Ciencia de Datos (Data Science) con Python.

A tool to support using classification models in low-power and microcontroller-based embedded systems.

Repository for several data science and analysis projects

IntelELM: A Python Framework for Intelligent Metaheuristic-based Extreme Learning Machine

Sentiment analysis of Tokopedia app users on Google PlayStore using the Support Vector Machine (SVM) method

Neuronal morphology preparation and classification using Machine Learning.

Basics of classification and bias

In simpler words we tell whether a user on Social Networking site after clicking the ad’s displayed on the website,end’s up buying the product or not. This could be really helpful for the company selling the product. Lets say that its a car company which has paid the social networking site(For simplicity we’ll assume its Facebook from now on)to …

Application of data analytics and machine learning to classify if an individual stopped by the police in New York City will be frisked, based on the circumstances of the stop and features of the individual suspect.

First rank winner in the Machine Learning Course Competition for class 2021-2022. Airline ticket price prediction from end to end (analysis - preprocessing - modeling - testing - deployment - documentation) between Indian cities

MetaPerceptron: Unleashing the Power of Metaheuristic-optimized Multi-Layer Perceptron - A Python Library

Classification ML models for predicting customer outcomes (namely, whether they're likely to opt into email / catalog marketing) depending on customer demographics (age, proximity to store, gender, customer loyalty duration) as well as sales and shopping frequencies by department

Airline Marketing Study: prediction of customer satisfaction and customer clustering using sklearn libraries.