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machine learning earthquake

Machine Learning picks Hidden Vibrations from Earthquake Data

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Empirical observations of earthquakes were rare until the 1750s. In fact, until the 18th century, very few factual descriptions of earthquakes were recorded, and the natural cause of earthquakes was entirely misunderstood. However, the 20th and the 21st-century saw an increasing interest in the scientific study of earthquakes. The evolution of tools and technology has helped […]

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movie recommendation system

Excerpts From a Masterclass on Movie Recommendation System

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What are Recommendation systems? Use case of Recommendation systems Why Recommendation systems? What can be recommended? Real-World examples Various types of recommendation systems Popularity based recommendation system How to build a popularity based recommendation system in Python Collaborative Filtering How to build a user-user collaborative filtering recommendation system in Python What are Recommendation systems? Recommendation

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An Introduction to Central Limit Theorem | What is Central Limit Theorem

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Central Limit Theorem In machine learning, statistics play a significant role in achieving data distribution and the study of inferential statistics. A data scientist must understand the math behind sample data and Central Limit Theorem answers most of the problems. Let us discuss the concept of the Central Limit Theorem. It assumes that the distribution

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support vector machine

Support Vector Machine – All you Need to Know About SVM

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Every algorithm has its magic. The demand for data forced every data scientist to learn different algorithms. Most of the industries are deeply involved in Machine Learning and are interested in exploring different algorithms. Support Vector Machine is one such algorithm. It is considered as the black box technique as there are unknown parameters that

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logistic regression

Logistic Regression With Examples in Python and R

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In every algorithm of machine learning, there is an approach that is unique yet easily interpretable. Logistic regression is one such algorithm with an easy and unique approach. It is very often used in the credit and risk industry for its easy intuition on predicting the chances of default and risk cases. It is indeed

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Top Machine Learning Applications

Top 10 Common Applications of Machine Learning in 2023

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Top Machine Learning Applications in 2023 Dynamic Pricing Transportation and Commuting Fraud Detection Virtual Personal Assistant Social Media Instant Translation Machine Learning, a sub-branch of Artificial Intelligence, has established itself as the new go-to technology for businesses worldwide. Whether it is e-commerce or healthcare, almost all the industries are using Machine Learning extensively to make

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web scraping using python

Web scraping using Python

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Introduction to web scraping Web scraping is defined as the process of finding web documents and extracting usable information from it. Web scraping is different from web crawling. Web crawling is the method of iteratively fetching links starting from a basic seed URL. Web scraping is a subset of web crawling. We shall consider this

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