Analytics Vidhya
Analytics Vidhya is a community of Analytics and Data Science professionals. We are building the next-gen data science ecosystem https://www.analyticsvidhya.com
Team AV
This is the Official Handle of Analytics Vidhya team. For more articles, check out the Analytics Vidhya website and Medium publication of Analytics Vidhya.
Kunal Jain
Data Scientist, Hacker, Business Analyst, Entrepreneur
Sunil Ray
Data Scientist, Blogger, Editor
Aishwarya Singh
Data Science Enthusiast
Pranav Dar
Machine Learning and football writer. An odd combination? Time will tell..Follow my football writings on thelastlibero.net.
Purva Huilgol
Data Science Intern at Analytics Vidhya. Pursuing Masters in Data Science from Dept. of Computer Science, University of Mumbai. ML and NLP enthusiast.
Mohd Sanad Zaki Rizvi
Technophile|Computer Science Afficionado| Recently into Data Science and ML
Latest Posts
Accuracy vs. F1-Score
A comparison between Accuracy and F1-score for Binary Classification and other metrics from the Confusion Matrix.
Used Car Prediction using Weighted Average Ensemble
Intuition and explanation of Weighted Average Ensemble techniques using Python
R-Squared vs Adjusted R-Squared
Evaluation Metrics for Regression models and a comparison between them
How Reproducibility Crisis is Eating Away the Credibility of Machine Learning Technology?
Reproducibility of results has become a big challenge for Machine Learning models. We explore the challenges and possible solutions.
Comprehensive Guide to Chi-Square -Tests For Independence
A detailed explanation of Chi-Square Tests and how they are used with an example
Types of Categorical Data Encoding Schemes
The different types of encoding schemes for categorical data with code in Python
Image Classification vs Object Detection vs Image Segmentation
The difference between Image Classification, Object Detection and Image Segmentation in the context of Computer Vision
Natural Language Processing with Python
Part 1: Tokens and some basic jargon used frequently in NLP
Trend Analysis and Regression Models to Combine Trends (Time Series)
A detailed trend analysis using Regression and Time Series with examples.
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