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The objective of this machine learning project is to use binary leaf images and extracted features, including shape, margin, and texture, to accurately identify 99 species of plants. Leaves, due to their volume, prevalence, and unique characteristics, are an effective means of differentiating plant species. They also provide a fun introduction to applying techniques that involve image-based features. We are going to apply different classification techniques to benchmark the relevance of classifiers in image classification problem.
In this project, we are going to predict different qualities of wine using different ML models.
In this machine learning project, we will build a predictive model to find out the sales of each product at a particular store.
In this data science project, we will look at few examples where we can apply various time series forecasting techniques.