An all usage Topic Modelling system for any English database
-
Updated
Jul 16, 2020 - Python
An all usage Topic Modelling system for any English database
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.
Movie Recommendation based on movie plot using LDA Topic Modelling
Final Project for [CS-1390] IML 👀
Machine Learning Project to predict ratings.
Generate text in the style of Shakespearean English using Recurrent Neural Networks.
This is a Machine Learning project focused on predicting the quality of wine based off of various constituents using various ML algorithms.
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.
This is a restaurant reviewer model which was bulit using the concept of NLP. It was built Jupyter notebook on python version 3.10.
This repository uses a simple linear regression to predict house prices in US $ based upon areas in sq ft.
Content-Based Movie Recommendation System
Customer Segmentation Report for Arvato Financial Services
Fake News Detection using Machine Learning Algorithms and deploying using Flask
Machine Learning / Data mining project in python. In this project, various classification algorithms such as Decision Tree, k-nearest neighbours, random forest and support vector machine have been implemented from scratch and have been applied on banknote authentication dataset. The goal of this project is to calculate and compare the accuracy o…
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.
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
PGDBA - ML-miniproject - Telephone-Data-Churn
Add a description, image, and links to the machine-learning-project topic page so that developers can more easily learn about it.
To associate your repository with the machine-learning-project topic, visit your repo's landing page and select "manage topics."