roshancyriacmathew
An AI enthusiast with a passion to share knowledge and ideas related to AI & DS (Artificial Intelligence & Data Science) fields. Check out the following link ⬇️
Pinned Repositories
Car-price-prediction-using-Linear-regression-Machine-Learning-Project
This is a python project for building a linear regression model that is used to predict used car prices from a given dataset using machine learning. The dataset used for this project is taken from Kaggle. For the complete video explanation, check out the following link.
EDA-using-python-on-the-amazon-Alexa-dataset
This code explains how to perform (Exploratory Data Analysis) EDA using python on the amazon Alexa dataset.
hate-speech-detection-using-machine-learning
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.
House-value-prediction-using-machine-learning-
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.
K-means-Clustering-Implementation
K means clustering implementation on the wine quality dataset
Machine-learning-on-Big-Mart-Sales-Dataset
In this notebook, we will be performing machine learning on the Big mart sales dataset
Medical-insurance-cost-prediction-using-linear-regression
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.
Supervised-machine-learning-on-iris-datatset
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.
Twitter-sentiment-analysis-using-Python-Machine-Learning-Project-8
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 machine learning model. The collected tweets from Twitter will be analysed using machine learning to identify the different sentiments present in the tweets. The different sentiments identified in this project include positive sentiment, negative sentiment and neutral sentiment. We will also be using different classifiers to see which classifier gives the best model accuracy.
Wine-Quality-Prediction-using-Machine-Learning
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.
roshancyriacmathew's Repositories
roshancyriacmathew/K-means-Clustering-Implementation
K means clustering implementation on the wine quality dataset