machine learning practitioner， android and python

Machine Learning Telecom Churn Model

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

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.

Description

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.

Website Prediksi Pembuatan beer Menggunakan Beberapa Model

The project tries to classify sentiment of tweets as positive, negative, neutral, or irrelevant based on their content.

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

🌍 Greenhouse Gas Emission Prediction - A Streamlit-based web app that predicts greenhouse gas emissions. Built with Python, scikit-learn,joblib and streamlit for model deployment.

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

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

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

Iniciando estudos sobre o dataset de distribuição de bolsas do ProUni

Build a regression model to understand the factors on which the demand for bike sharing systems vary on and help a company optimise its revenue.

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)