10 beginner-friendly machine learning projects to try at home
Here are 10 beginner-friendly machine learning projects that you can try at home, even if you're a beginner or not technical: Build a simple machine learning model to classify flowers based on their characteristics (e.g. type of petal, color, etc.). You can use a dataset of flower images and labels, such as the famous Iris dataset. Use machine learning to predict the weather based on temperature, humidity, and other factors. You can use a dataset of weather data and labels (e.g. "sunny," "cloudy," "rainy," etc.). Train a model to recognize handwritten digits using the MNIST dataset. Use machine learning to identify spam emails based on their content. You can use a dataset of emails and their labels (spam or not spam). Train a model to predict the sentiment of movie reviews as positive or negative. You can use a dataset of movie reviews and their associated labels (positive or negative). Use machine learning to predict the likelihood of customer churn b...