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From Raw to Refined: A Journey Through Data Preprocessing — Part 2: Missing Values
Author(s): Shivamshinde Originally published on Towards AI. Photo by Holly Stratton on Unsplash Before going through this article, please check out the previous article in the series on feature engineering. From Raw to Refined: A Journey Through Data Preprocessing — Part 1: …
From Raw to Refined: A Journey Through Data Preprocessing — Part 1
Author(s): Shivamshinde Originally published on Towards AI. Photo by Edward Howell on Unsplash Sometimes, the data we receive for our machine learning tasks isn’t in a suitable format for coding with Scikit-Learn or other machine learning libraries. As a result, we have …
From Raw to Refined: A Journey Through Data Preprocessing — Part 1: Feature Scaling
Author(s): Shivamshinde Originally published on Towards AI. Photo by Edward Howell on Unsplash Sometimes, the data we receive for our machine learning tasks isn’t in a suitable format for coding with Scikit-Learn or other machine learning libraries. As a result, we have …
Be Confident in your Machine Learning Models with the help of Cross-Validation
Author(s): Shivamshinde Originally published on Towards AI. Cross-validation is a go-to tool to check if your machine-learning model is reliable enough to work on new data. This article will discuss cross-validation, from why it is needed to how to perform it on …
How to Use scikit-learn ‘eli5’ Library to Compute Permutation Importance?
Author(s): Abhinav Prakash Originally published on Towards AI. Feature Permutation Importance with ‘eli5’ U+007C Towards AI Understanding the workings of scikit-learn’s ‘eli5’ library to compute feature importance on a sample housing dataset and interpreting its results cc: Forbes Most of the Data …
scikit-learn Cheat Sheet: Functions for Machine Learning
Author(s): Gencay I. Originally published on Towards AI. Mastering Machine Learning with Python and scikit-learn: A Comprehensive Guide for Data Scientists and AI Enthusiasts Image by Author It is no secret that data science and machine learning have become essential components of …
Data Science Libraries For Beginners: Gentle Introduction
Author(s): Gencay I. Originally published on Towards AI. In this guide, you will gain knowledge about Data Science Libraries, from Data Exploration to Machine Learning. Students are studying at the deck — leonardoai I can not promise you to be a master …
Making Models Smart: GPT-4 and Scikit-Learn
Author(s): Ulrik Thyge Pedersen Originally published on Towards AI. An Introduction to the seamless integration of ChatGPT-4 with Scitkit-Learn Image by Author with @MidJourney ChatGPT has allowed for convenient and efficient approaches to constructing text classification models. Scikit-learn is the conventional library …
Stop Enrolling in Boring Courses! Teach Yourself Sci-Kit Learn With ChatGPT!
Author(s): Gencay I. Originally published on Towards AI. Discover an Engaging Way to Learn Sci-kit Learn: Master Machine Learning and Algorithms with the Power of ChatGPT Stop enrolling in boring courses! Teach yourself Sci-kit learn with ChatGPT!- Image by Author Now we …
Cosine Similarity for 1 Trillion Pairs of Vectors
Author(s): Rodrigo Agundez Originally published on Towards AI. Introducing ChunkDot Photo by Tamas Pap on Unsplash UPDATEChunkDot now supports sparse embeddings, you can read more about it here. Bulk Similarity Calculations for Sparse Embeddings ChunkDot support for sparse matrices pub.towardsai.net Success! I …
Stop the Stopwords using Different Python Libraries
Author(s): Manmohan Singh Originally published on Towards AI. Source: Pixabay.com Alphabet letters are building blocks for words in the English language. These words group together to form a sentence by following grammatical rules. Because of grammatical reasons, some words occur more frequently …
Titanic Challenge — Machine Learning for Disaster Recovery
Author(s): Bindhu Balu Originally published on Towards AI. GitHub repo : https://github.com/BindhuVinodh/Titanic-Data-Visualization The Titanic challenge hosted by Kaggle is a competition in which the goal is to predict the survival or the death of a given passenger based on a set of …
Feature Scaling with Python’s Scikit-learn
Author(s): Bindhu Balu Originally published on Towards AI. Top highlight One of the primary objectives of normalization is to bring the data close to zero. That makes the optimization problem more “numerically stable”. Now, the scaling using mean and standard deviation assumes …
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