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A beginners guide for machine learning with C++. In this article learn about linear and logistic regression and how to implement them using C++.
Docker allows you to create reproducible workflows as a data scientist. This is an introductory guide to get started on use of docker for data science.
In this article, we are going to see what is SVM and how SVM works and the different kernel functions used by the algorithm to predict
Flask is a web application framework written in Python. Learn model deployment and build an image classification model in PyTorch, deploy it using Flask.
Explore the Convolutional Neural Networks in deep learning, covering architecture, layers, training, limitations, and Python implementation.
In this blog, we will see how we can integrate the Big Data tools like Hadoop with Python which makes data processing easier and faster.
MNIST Dataset Prediction, MNIST prediction. It includes handwritten digits 0-9, serving as a testing ground for image processing systems.
Explore the significance of Object Detection, how it functions, training data essentials, Bounding Box Evaluation using IOU.
This operational analytics case study is made for freshers and less experienced people in analytics to practice for interviews and new jobs
In this article, we will cover some tricky questions frequently asked in interviews of companies working on big data.
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