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Deploying a Deep Learning Skin Classification App to Google Cloud

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A Step-by-Step Guide In this guide, we’ll walk you through the process of deploying a deep learning skin classification application to Google Cloud Run. Cloud Run is a fully managed platform that automatically scales your containerized applications, making it an ideal choice for deploying machine learning models. Whether you’re a data scientist or a developer, …

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Skin Cancer Classification Web App, Docker, and Azure Cloud

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In this comprehensive blog, we will walk you through the process of creating and deploying a Deep Learning-based image classification project. We will focus on classifying skin cancer images into benign and malignant categories using modern technologies. The journey will cover training a deep learning model, building a Flask web application, managing version control with …

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Traffic Sign Classification with 47 Classes: A Deep Learning Journey

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[Introduction] Traffic signs are everywhere on our roads, ensuring safety and efficient traffic flow. But what if we could teach a computer to understand and interpret these signs, just like humans do? That’s exactly what we’re going to explore in this video. [Project Overview] In this project, we trained a deep learning model to classify …

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Titanic dataset classification Python

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To classify the Titanic dataset using Python, you will need to follow these steps: Here is an example of how you could classify the Titanic dataset using Python: This code first imports the necessary libraries, then loads the data using Pandas, explores the data, preprocesses the data by dropping missing values and encoding categorical variables, …

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Dimensionality Reduction

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Dimensionality reduction is a method used to reduce the number of features or dimensions in a dataset. This is often done to reduce the complexity of the data, make it easier to visualize, or to improve the performance of machine learning algorithms. There are many different techniques for dimensionality reduction, including: Dimensionality reduction can be …

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How to start a Career in Data Science

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Data Science: Data science is a field that involves using scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data. Data science is a interdisciplinary field that includes aspects of computer science, statistics, and subject-specific expertise. It is commonly used to analyze data from experiments, sensors, and research to …

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Difference between AI, Data Science, ML, and DL

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Difference between Artificial intelligence, Data Science, Machine Learning, and Deep Learning Artificial intelligence: Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and act like humans. These machines are trained to perform tasks that typically require human intelligence, such as visual perception, speech recognition, decision-making, and language …

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Data Science

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Data science is a field that involves using scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data. Data scientists use a variety of techniques from statistics, machine learning, and computer science to analyze and interpret data, and to build predictive models and data-driven solutions to real-world problems. Data science …

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