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Machine Learning Solution Predicting Road Accident Severity

Analytics Vidhya

Introduction This is a multiclass classification project to classify the severity of road accidents into three categories. The post Machine Learning Solution Predicting Road Accident Severity appeared first on Analytics Vidhya. This project is based on real-world data, and the dataset is also highly imbalanced.

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Music Genre Classification Project Using Machine Learning Techniques

Analytics Vidhya

Audio classification is an Application of machine learning where different sound is categorized in certain categories. The post Music Genre Classification Project Using Machine Learning Techniques appeared first on Analytics Vidhya. Hello, and welcome to a wonderful article on audio classification.

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Meta-Learning For Better Machine Learning

Rocket-Powered Data Science

The above example (clustering) is taken from unsupervised machine learning (where there are no labels on the training data). There are also examples of cold start in supervised machine learning (where you do have class labels on the training data). Genetic Algorithms (GAs) are an example of meta-learning.

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Intent Classification with Convolutional Neural Networks

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Text classification is a machine-learning approach that groups text into pre-defined categories.

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Machine Learning Algorithm Cheatsheet

Data Science 101

The fine folks at Microsoft have put together an excellent Single Page Cheatsheet for Azure Machine Learning Algorithms. Microsoft’s Azure Machine Learning Algorithm Cheat Sheet. You want to predict “Will Purchase” or “Will Not Purchase” Thus you are trying to predict between two categories.

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Exploratory Data Analysis (EDA) in Python

Analytics Vidhya

EDA can be divided into two categories: graphical analysis and non-graphical analysis. EDA is a critical component of any data science or machine learning process. Introduction Exploratory Data Analysis is a method of evaluating or comprehending data in order to derive insights or key characteristics.

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Understanding Mosaic Data Augmentation

Analytics Vidhya

Introduction Data augmentation encompasses various techniques to expand and enhance datasets for machine learning and deep learning models. These methods span different categories, each altering data to introduce diversity and improve model robustness.