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consumer-complaint-resolution

Consumers who are more likely to dispute a conclusion.

distracted-driver-multi-action-classification

dog-breed-identification

A model which is capable of determining a dog's breed from a photo.

end-to-end-multi-class-leaf-classification

Using binary leaf images and extracted features, including shape, margin & 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.

gradient-descent-and-its-variants

Gradient Descent Gradient Descent is a very common optimization algorithm, and most likely, the first optimization algorithm a lot of Machine learning engineers and Data scientists are introduced to. Let's paint a picture. We have a cost function, and we need to find the optimum solution to solve the cost function. Here comes gradient descent, an algorithm that works by making changes to the values of the parameters that are within the model, all in the purpose of minimizing the cost function. An example of a cost function is Mean Squared Error. Gradient descent intrinsic functionality works by finding the direction to take towards a local minimum based on the calculated gradient obtained from the error function with respect to the parameters at a particular data point.

multiclass-multilabel-prediction-for-stack-overflow-questions

Given text for Questions , predict tags associated with them

new-york-city-taxi-trip-duration

to-mail-or-not-to-mail

Direct mailings to a company’s potential customers – “junk mail” to many – can be a very effective way for them to market a product or a service. However, as we all know, much of this junk mail is really of no interest to the people that receive it. Most of it ends up thrown away, not only wasting the money that the company spent on it, but also filling up landfill waste sites or needing to be recycled. If the company had a better understanding of who their potential customers were, they would know more accurately who to send it to, so some of this waste and expense could be reduced.