Computer Science | Machine Learning | Deep Learning Projects

By: Engineer's Planet

Our comprehensive projects page has a wide range of categories that serve different programming and development needs. This section called Deep and Machine Learning Projects offers the best AI based projects for predictive analysis, computer vision, natural language processing, and others which are popular among students in engineering who want to build models and be more hands-on with artificial intelligence or neural networks

This research uses machine learning to validate Dr. Ignaz Semmelweis' discovery about the impact of handwashing on hospital mortality rates, emphasizing the importance of sanitary measures by analyzing historical records with modern statistical methods.

1. Handwashing's Impact on Hospital Mortality

This project analyzes LEGO set data on themes, colors, and components over decades using machine learning to identify patterns, understand customer demands, and assess LEGO's innovation strategies.

2. Analyzing LEGO Trends Over Time

This study uses machine learning to classify cryptocurrencies by market capitalization, analyzing a large dataset to understand market characteristics, trends, and the distribution of market capital across various cryptocurrencies.

3. Cryptocurrency Market Analysis

This project aims to enhance a furniture retailer's digital marketing by developing effective keyword strategies and engaging ad visuals using machine learning, ultimately boosting online presence, targeting specific product segments, and increasing conversions.

4. Optimizing Furniture Retail Marketing with ML

This research uses machine learning to analyze blood donor behavior, using data from Taiwan’s mobile blood donation vehicle to improve donation forecasts and ensure a steady blood supply to meet annual demand

5. Predicting Blood Donation: Analyzing Donor Behavior

In conclusion, These machine learning projects demonstrate the powerful potential of data-driven insights across diverse fields, from healthcare and cryptocurrency to digital marketing and consumer trends. By leveraging advanced techniques, they optimize outcomes, enhance predictions, and drive innovation, ultimately improving decision-making, efficiency, and customer engagement in their respective industries.