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Tutorial to deploy Machine Learning models in Production as APIs (using Flask)
In this article, learn how to deploy a machine learning model in production using Flask framework in Python.
Guest Blog 22 Oct, 2024
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How to build your first Machine Learning model on iPhone (Intro to Apple’s CoreML)
This guide explains with an example inner workings of Apple’s CoreML for how to build a machine learning model on iOS devices (including iPhone X).
Mohd Sanad Zaki Rizvi 26 Aug, 2021
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Why we are so excited about DataHack Summit 2017?
This article explains the philosophy behind DataHack Summit 2017, what it is and what you can expect at the DataHack Summit 2017
Kunal Jain 23 Sep, 2017
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Introduction to Pseudo-Labelling : A Semi-Supervised learning technique
In this article we discuss the basics of SSL with Python implementation, Pseudo labelling and semi supervised machine learning algorithms
shubham.jain 28 Jun, 2023
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6 Types of Probability Distribution in Data Science
Explore different types of probability distributions in statistics, including key distribution types and their applications. Read Now!
Ayushi Trivedi 07 Apr, 2025
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Comparative Stock Market Analysis in R using Quandl & tidyverse – Part I
Comparative Stock market analysis for banking stocks in India using various machine learning packages in R including Quandl, tidyverse to find hidden trends
Guest Blog 26 Aug, 2021
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How to Use Support Vector Machines (SVM) in Python and R
Take your machine learning skills to the next level with Support Vector Machines (SVM) for tasks like regression and classification.
Sunil Ray 16 Jun, 2025
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Python vs. R vs. SAS – which tool should I learn for Data Science?
Comparison of Python vs R vs SAS data analysis tools along various parameters with recommendations for data analysts and data scientists
Kunal Jain 07 Jun, 2020
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Naive Bayes Classifier Explained With Practical Problems
Learn how to use the Naive Bayes Classifier for fast and accurate classification in your machine learning projects. Start Reading Now!
Sunil Ray 01 May, 2025
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4 Essential Tools any Data Scientist can use to improve their productivity
This article covers the essential tools for data scientists for increasing their productivity on data science projects and workflows.
Faizan Shaikh 07 Jun, 2020
