Dive into hands-on learning with free projects, complete with detailed documentation, source code, and datasets. Explore practical applications like image recognition, NLP, prediction, and neural network design. Download and start immediately, gaining valuable experience with technologies that shape today’s world and advancing your skills through real-world project work.
This project uses machine learning to predict medical diagnoses by analyzing patient data. Techniques like SVM, logistic regression, and random forest are applied, with SVM achieving the highest accuracy, highlighting ML’s potential in healthcare decision-making.
This project predicts wine quality using machine learning by analyzing features like acidity, pH, and alcohol content. Gradient boosting achieved the most accurate results, showcasing ML’s effectiveness in building predictive models for wine evaluation.
This project uses deep learning, specifically CNNs, to detect distracted drivers through image analysis. High accuracy in classifying distractions highlights the potential of AI in enhancing road safety and reducing accident risks.
This project uses deep learning, specifically CNNs, to classify images of dogs and cats. The ResNet model achieved the highest accuracy, demonstrating the effectiveness of advanced deep learning techniques in image recognition tasks.
This project predicts first innings scores in IPL matches using machine learning. Analyzing historical match data, Random Forest delivered the most accurate results, demonstrating ML’s potential in sports analytics and strategic game planning.