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Naive Bayes is the simplest and fastest classification algorithm for large data. Here, we will perform sentiment analysis using Naive Bayes.
Audio or sound classification is the process to listen, analyze and classify audio recordings. we will classify vehicles based on audio data
In this article, we will be working with a Regression problem, and you will see how easy it becomes to code using Pycaret with AutoML.
In this blog, we will understand how to create and train a simple CNN for classification of handwritten digits from a popular dataset.
LBPH is a Face-Recognition algorithm. It is known for its performance and ability to recognize the face of a person from both front and side.
Learn polynomial regression from basic to advanced techniques. Easily identify trend, make predictions, and develop models for large datasets,
Here we will perform colour quantization using k-means clustering. It is the method of lessening the abundance of different colors in an image
LDA is one of the ways to implement Topic Modelling. It is clustering a collection of documents based on the topics they cover.
Here, we are going to develop a classification model. The model will be trained using Google automl and we will use bigquery for predictions.
Outlier treatment is one of the most important steps while cleaning data. In this article, we will see how to treat outliers in data science
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