machine learning practitioner, android and python
-
Updated
Nov 5, 2021
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.
Reddit Post Flair Detector for r/india Subreddit
🌍 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.
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
The project tries to classify sentiment of tweets as positive, negative, neutral, or irrelevant based on their content.
Clustering Amazon review data around 6M users using Kmeans and Dbscan algorithm.
This report is generated of what cryptocurrencies are available on the trading market and how they can be grouped using classification.
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)
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.
UCLA Computer Science Summer Institute; CS97 - Introduction to Data Science
Add a description, image, and links to the sklean topic page so that developers can more easily learn about it.
To associate your repository with the sklean topic, visit your repo's landing page and select "manage topics."