Machine Learning Telecom Churn Model

Reddit Post Flair Detector for r/india Subreddit

Description

This repository is about using multivariate linear regression in airfoil self noise using python. It will help you to use different types of commands of different types of libraries in python.

This repository tries to predict some NBA awards with machine learning

The goal of this project is to help a mail-order sales company in Germany to identify segments of the population that form the core customer base. These segments can then be used to direct marketing campaigns towards audiences that should bring high expected returns.

Clustering Amazon review data around 6M users using Kmeans and Dbscan algorithm.

Testing different machine learning methods on advertising dataset. With a simple RESTAPI using flask

Simple API, built with FAST API, with advanced linear regression of California home prices.

utilize the sklearn library to train models on a set of data and use to make predictions

An NLP analysis on the impact of Star Trek: The Next Generation's character spoken lines and how it affects the rating of the episode.

This report is generated of what cryptocurrencies are available on the trading market and how they can be grouped using classification.

UCLA Computer Science Summer Institute; CS97 - Introduction to Data Science

machine learning practitioner， android and python

Iniciando estudos sobre o dataset de distribuição de bolsas do ProUni

Using ML methods, develop a data analytics-based strategy to help classify if prospective borrowers would be a risk to a bank. With the use of predictive modeling, a bank could determine whether an applicant is approved or rejected for a loan by analyzing their credit risk. (Final Group Project for CIND119)

Supervised learning model that predicts whether an individual makes more than $50000 per year (accuracy score of 0.87) .