machine learning practitioner， android and python

Machine Learning Telecom Churn Model

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.

website forcasting bukit darmo property

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.

Reddit Post Flair Detector for r/india Subreddit

Website Prediksi Pembuatan beer Menggunakan Beberapa Model

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

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

Description

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

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.

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

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

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)

Predict bike sharing demand using multiple linear regression model.

International Sports Events and Repression in Autocracies. Statistical Analysis with Python

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