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

Reddit Post Flair Detector for r/india Subreddit

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.

A machine learning project that predicts the future price of Ethereum (ETH) using the price data gathered from coincodex.com.

The Crop Recommendation with Machine Learning project is designed to assist farmers and agricultural professionals in selecting the most suitable crops for their specific environmental conditions.

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

Website Prediksi Pembuatan beer Menggunakan Beberapa Model

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

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.

Description

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

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

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

Iniciando estudos sobre o dataset de distribuição de bolsas do ProUni