Anomaly Detection and Removal in Python | 3-Sigma Method | Outlier Detection in Data Project

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In this video, we will talk about Anomaly Detection or outliers ,A project which can detect and remove outliers in python. I will also show you how we solved an Anomaly detection use case in one of my previous organization using a customized 3-Sigma method .

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What is Anomaly in Data Analysis?
In Data Analysis, Anomaly Detection is the identification of rare items, events or observations which raise suspicions by differing significantly from the majority of the data.

00:00 Introduction
03:01 Definition of an anomaly in data .
06:16 How to identify Anomalies and outliers ?
10:38 Algorithm used to detect anomalies .
16:45 Using Python program to detect anomaly / outlier detection in python

Required software : python 3.x
Files: code to be updated soon.
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Hello Friends , I am Satyajit Pattnaik, In my channel you will find every information about Data Science & Analytics which will help you become an expert Data Scientist or a Data Analyst along with which you would enjoy a loads of interesting and useful projects.

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#Anomaly #Outlier #Python #machinelearning #datascienceproject #pythonprojects
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Hey Satyajeet. Thanks a lot for this insightful lecture..
Can you please make separate series for Anomaly Detection Techniques ??

digvijay
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Hi Satyajeet...it was nice to know new things from you.Need the code to excecute in my local system

VikashKumar-tyuy
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Sir, I am working on a project " Audio call recordings sentiment analysis ". The audios are mostly in regional indian languages. So transcribing the audio files is not giving good results. Could you please guide me on how to approach this?

sagarkishore
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Hi Satyajeet, need to implement similar logic into my project. Can you share the code and file. Can’t see in the description

rohitgoyal
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