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Taking a new job in Analytics? Ask these 5 questions first!
This article gives review about basic 5 queries, everyone has in mind before taking a new job in analytics.
Kunal Jain 24 Jun, 2022
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How to identify a good (and bad) Business Analyst?
I have developed a knack of differentiating best analysts from good and good analysts from bad. If you face this challenge regularly, this post might help you.
Kunal Jain 26 Aug, 2021
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Computer Vision Using OpenCV – With Practical Examples
OpenCV is a very famous library for image processing tasks. In this article we will see different techniques of computer vision using opencv.
Akshay 25 May, 2021
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Why you should avoid using Python Lists?
Yes, you heard that right, you should avoid using Python lists. Even though they might be arguably the most popular of the Python containers
Sion 25 Oct, 2024
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Limitations of Pre vs. Post analysis and Importance of testing
This article explains how do you check if promotion of a particular product had cannibalization effect on future Sales of the product or on other similar products?
Kunal Jain 27 Aug, 2021 -
Netflix Case Study (EDA): Unveiling Data-Driven Strategies for Streaming
Uncover Netflix's data-driven strategies & content landscape through data analysis. Explore movies and TV shows & intriguing insights.
Swapnil Vishwakarma 14 Jun, 2023
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Image Segmentation With Felzenszwalb’s Algorithm !
Image Segmentation has long been an interesting problem in the field of image processing. Let's implement the Felzenszwalb’s Algorithm
SHIVAM 27 May, 2021
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Sentiment Analysis using NLTK – A Practical Approach
In this blog, let's perform sentiment analysis of a given text using python where we use NLTK aka Natural Language Processing Toolkit
Sriniketh 23 Oct, 2024
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Applications of Artificial Intelligence and Data Science
Data Science Applications are overtaking the modern era and transforming it into the most exciting fields to look forward to in the future.
pavan 06 Feb, 2024
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Four Data Engineering Fundamentals All Data Scientists Must Know
Data Science is a team sport. In this article, we will explore four Data Engineering fundamentals every data scientist should know about.
ASHWINI 14 Sep, 2021
