K means clustering implementation on the wine quality dataset
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Updated
Jan 24, 2022 - Python
K means clustering implementation on the wine quality dataset
This project is about creating a machine learning algorithm that can predict the quality of wine based on the given dataset. Different machine learning algorithms such as logistic regression, decision tree and random forest are used in this project.
This project is about creating a machine learning model that can predict the house value based on the given dataset. We use different machine learning algorithms such as linear regression, decision tree and random forest to train the model, and the model that gives the best performance is used to predict the house value for new data.
This project walks you on how to create a twitter sentiment analysis model using python. Twitter sentiment analysis is performed to identify the sentiments of the people towards various topics. For this project, we will be analysing the sentiment of people towards Pfizer vaccines. We will be using the data available on Kaggle to create this mach…
This is a python project that is used to identify hate speech in tweets. The dataset used to train the model is available on Kaggle and consists of labelled tweets where 1 indicates hate speech tweets and 0 indicates non-hate speech tweets.
This python project implements sentiment analysis using machine learning on amazon product reviews dataset.
This project demonstrates how to perform sentiment analysis using deep learning on Amazon product reviews dataset. The dataset used for the project is obtained from Kaggle and consists of nearly 3000 reviews of amazon users regarding various amazon Alexa products like Alexa echo, Alexa dot etc. Exploratory data analysis is performed on the datas…
This python project explains on how to implement a supervised machine learning algorithm on the famous iris dataset. The different classifiers used in this project includes decision tree and k-nearest neighbors. For a complete explanation of this project, check out my video on this topic.
This project demonstrates how to implement k-means clustering on unsupervised data. The dataset used here is the famous iris dataset. To see a complete video explanation on this topic, check out the attached link.
This project explains on how to build a machine learning algorithm for calculating the medical insurance costs. Check out my video on this topic for the complete video explanation.
This project demonstrates how to create a sentiment analysis and machine learning model on the IMDB dataset
Implementing neural networks on the IMDB movie review dataset of 50k movie reviews
This project demonstrates how to perform exploratory data analysis on car price prediction dataset. The dataset is available on Kaggle and consists of various attributes related to the sales price of used ford cars. We will be performing Exploratory Data Analysis to understand this data and to find out which factors affect the sales price of use…
This code explains how to perform (Exploratory Data Analysis) EDA using python on the amazon Alexa dataset.
This code will help you to create and customize pie charts using python.
This repository contains the code used in my tokenization tutorial video.
This code explains how to create and customize word clouds in python.
This code will help you to create and customize histograms using python.
This code explains how to create and customize bar charts using matplotlib library.
This code will help you to create and customize seaborn heatmaps using python.
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