A end-to-end NLP based app to classify emotions on text data...
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Updated
Mar 23, 2023 - Jupyter Notebook
A end-to-end NLP based app to classify emotions on text data...
My separate term project for the course Introduction to Machine Learning (offered by University of Helsinki's Master's Programme in Data Science), spring 2021.
End-to-End Machine Learning/Data Science Project
Fake News Detection using Machine Learning Algorithms and deploying using Flask
Pneumonia detection ML model
This is based on a data challenge from the Michigan Data Science Team (MDST). The Michigan Data Science Team (MDST) and the Michigan Student Symposium for Interdisciplinary Statistical Sciences (MSSISS) have partnered with the City of Detroit to help solve one of the most pressing problems facing Detroit - blight. Blight violations are issued by…
Generate text in the style of Shakespearean English using Recurrent Neural Networks.
Internship project of Machine Learnig on Enegry Efficiency to estimate the heating load (HL) and cooling load (CL) using two different approaches: a traditional linear regression approach and a state-of-the-art nonlinear non-parametric method called random forests.
Final Project for [CS-1390] IML 👀
Machine Learning Project to predict ratings.
This project aims to predict customer conversion for an insurance company. Using historical data, we will develop a machine learning model that can identify which customers are most likely to purchase a policy. By understanding the patterns and behaviors of previous customers, the model can make predictions and provide valuable insight to company.
Estimated annual CO2 emissions from diesel generators at mobile or cell towers
data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.
Stock Forecasting System using AWS forecast.
This project guides the user till they perform correct yoga pose.
This repository uses a simple linear regression to predict house prices in US $ based upon areas in sq ft.
data fetched by wafers (thin slices of semiconductors) is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not. Wafers are predominantly used to manufacture solar cells and are located at remote locations in bulk and they themselves consist of few hundreds of sensors.
A Project from Dicoding's Machine Learning Expert Class. Recommender System for Anime using Content-Based Filtering and Collaborative Filtering
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