With the increasing usage of mobile phones and text messaging, SMS spam has become a…
Category: projects
BOW, TF-IDF and XGBoost Update for Sentiment Analysis using Machine Learning
Sentiment analysis is a critical component of natural language processing, with numerous applications such as social media monitoring, customer feedback…
Bayesian Statistics using Machine Learning
Bayesian statistics is a powerful framework for statistical inference and decision-making that allows for the incorporation of prior knowledge and…
Bayesian Logistic Regression for Bank Marketing using Machine Learning
In the banking industry, marketing campaigns are crucial for promoting new products, acquiring new customers, and increasing revenue. Predicting the…
Autoencoder for Customer Churn Prediction using Machine Learning
Customer churn, or the loss of customers to competitors, is a major concern for businesses in various industries. Predicting and…
Article Recording System using Machine Learning
In academic research, tracking and organizing large volumes of research articles can be a daunting task. A recording system that…
Ad Demand Forecast using Machine Learning
Advertising is a critical component of any business strategy, with companies investing heavily in various ad formats to reach their…
Predicting California Housing Prices using Machine Learning
The California housing market is one of the most expensive and dynamic in the world, with prices varying widely based…
Text Summarization using Word Frequency Machine Learning
Text summarization is the process of condensing a large text document into a shorter summary while retaining the essential information….
SMS Spam Detection Analysis using Machine Learning
With the increasing usage of mobile phones and text messaging, SMS spam has become a major concern for mobile phone…
Clustering-based Analysis of Turkiye Student Evaluation Dataset
Student evaluations are an essential tool for assessing the quality of teaching and learning in educational institutions. However, analyzing the…