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  3. Purva Huilgol
Purva Huilgol

Purva Huilgol

Author: since 06 Jun, 2019 Article: 18 Claps: 1642

Associate of Data Science @ JP Morgan

Writes on Listicle Python Python Deep Learning Intermediate Machine Learning Technique NLP Advanced Computer Vision Libraries Structured Data Classification Conferences Data Science Data Visualization Interview Prep Pandas Project R Statistics Text Unstructured Data Algorithm Artificial Intelligence Data Exploration Datasets Image Interviews Interviews Maths Profile Building Programming Research & Technology Resource Structured Thinking Supervised Videos Beginner More
  • Beginner Data Exploration R Technique

    The Ultimate Swiss Army Knife of ‘apply’ Family in R

    Apply functions are most widely used for transforming data in R. Lets use R and learn about the various set of apply functions.

    Purva Huilgol 06 Jan, 2022
    The Ultimate Swiss Army Knife of ‘apply’ Family in R
  • Beginner Classification Data Visualization Libraries Machine Learning

    ML Interpretability using LIME in R

    LIME stands for Local Interpretable Model-Agnostic Explanations. In this article, understand how to interpret your ML model using LIME in R

    Purva Huilgol 20 Jan, 2021
    ML Interpretability using LIME in R
  • Advanced Conferences Research & Technology

    Top Highlights from 11 Powerful Machine Learning Conferences in 2020

    ML Conferences are the best way to keep track of the innovations in this domain. Let's explore the top AI and ML Conferences of 2020

    Purva Huilgol 28 Dec, 2020
    Top Highlights from 11 Powerful Machine Learning Conferences in 2020
  • Computer Vision Datasets Deep Learning Intermediate Listicle

    Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio!

    Top open source datasets that all data scientist should work on. This article cover 15 open source datasets for ML, computer vision and NLP.

    Purva Huilgol 18 Dec, 2020
    Top 15 Open-Source Datasets of 2020 that every Data Scientist Should add to their Portfolio!
  • Beginner Data Science Libraries Pandas Programming

    All Aboard the Pandas Express – How to Speed up Data Preprocessing using Pandas in Python

    Pandas is an excellent Python library for data preprocessing. Learn how to speed up Pandas operations in this article and save time.

    Purva Huilgol 27 Oct, 2024
    All Aboard the Pandas Express – How to Speed up Data Preprocessing using Pandas in Python
  • Beginner Machine Learning Python Python Structured Data

    Precision and Recall in Machine Learning

    Precision vs recall are two crucial topics in machine learning. Learn everything about precision and recall in machine learning. Start exploring Now!

    Purva Huilgol 07 Apr, 2025
    Precision and Recall in Machine Learning
  • Intermediate Listicle NLP Python Python

    Top 4 Sentence Embedding Techniques using Python

    Sentence embedding techniques represent entire sentences and their semantic information, etc as vectors. Let us have a look at the top ones

    Purva Huilgol 01 May, 2025
    Top 4 Sentence Embedding Techniques using Python
  • Computer Vision Image Intermediate Listicle Python

    Top 4 Pre-Trained Models for Image Classification with Python Code

    Implement pre-trained models for image classification (VGG-16, Inception, ResNet50, EfficientNet) with data augmentation and model training.

    Purva Huilgol 04 Apr, 2025
    Top 4 Pre-Trained Models for Image Classification with Python Code
  • Beginner Machine Learning Python Python Statistics

    Bias and Variance in Machine Learning – A Fantastic Guide for Beginners!

    Learn how to evaluate your Machine Learning model, understand bias, variance, and the bias-variance tradeoff with a clear example. Essential steps included!

    Purva Huilgol 07 Apr, 2025
    Bias and Variance in Machine Learning – A Fantastic Guide for Beginners!
  • Beginner Machine Learning Structured Thinking Technique

    Feature Transformation and Scaling Techniques to Boost Your Model Performance

    Feature Scaling and transformation help in bringing the features to the same scale and change into normal distribution. Thus,

    Purva Huilgol 20 Jun, 2024
    Feature Transformation and Scaling Techniques to Boost Your Model Performance

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