Predicting house prices is a classic machine learning project that involves regression techniques..Sentiment analysis involves classifying text data into positive, negative, or neutral sentiments..Handwritten digit recognition project involves building a model to recognize handwritten digits using the MNIST dataset..Predicting stock prices is a challenging project that involves time series analysis..Customer segmentation involves dividing a company's customers into groups based on common characteristics..Read More Stories
Predicting house prices is a classic machine learning project that involves regression techniques..Sentiment analysis involves classifying text data into positive, negative, or neutral sentiments..Handwritten digit recognition project involves building a model to recognize handwritten digits using the MNIST dataset..Predicting stock prices is a challenging project that involves time series analysis..Customer segmentation involves dividing a company's customers into groups based on common characteristics..Read More Stories