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lift-machine-learning

Lift in machine learning refers to a metric used to evaluate the effectiveness of a predictive model, particularly in classification tasks. It measures how much better a model performs compared to random guessing. Specifically, lift quantifies the increase in the likelihood of a positive outcome when using the model versus not using it at all. A higher lift value indicates that the model is more effective at identifying true positives, making it a valuable tool for assessing model performance in applications such as marketing, fraud detection, and recommendation systems. Understanding lift helps in optimizing models for better decision-making.

Machine Learning

Python Data Science Handbook

In many ways, machine learning is the primary means by which data science manifests itself to the broader world. Machine learning is where these computational and algorithmic skills of data science me...

Machine Learning

Codecademy

Machine learning (ML) is a branch of Artificial Intelligence (AI) that allows computers to analyze data, identify patterns, and make decisions without explicit programming. Instead of following hard-c...

Machine Learning Explored

Towards AI

Let us now dive into the nitty-gritty. How do we unravel the mysteries of machine learning? This is where LIME and SHAP come into the picture. LIME — Locally Interpretable Model-Agnostic Explanations ...

Beyond hype — the reality of a Machine Learning project

Becoming Human: Artificial Intelligence Magazine

Machine Learning (ML) is one of the fundamental components of data science. Many data problems can be framed as ML problems. If you have studied ML, you are familiar with some of its most famous…

Machine Learning

The Hitchhiker's Guide to Python!

Machine Learning Python has a vast number of libraries for data analysis, statistics, and Machine Learning itself, making it a language of choice for many data scientists. Some widely used packages fo...

What is Machine Learning?

Towards Data Science

This is the first of a series of articles intended to make Machine Learning more approachable to non-technically trained readers. It covers basic principles and examples of everyday use cases.

Machine Learning

Python in Plain English

Nowadays, there is a lot of buzz around these words. What is the first thing that comes to your mind after hearing Machine Learning? Going by the meaning of the words, you might be thinking of it as g...

An Introduction To Machine Learning

Becoming Human: Artificial Intelligence Magazine

Machine Learning is a sub field of artificial intelligence which facilitates machines to act and evolve on it’s own based on prior experience.The speciality in this technology is that unlike any…

A Guide to Deploying Machine Learning Models

Becoming Human: Artificial Intelligence Magazine

Machine Learning is a serious technology that is leading to some interesting prospects for the technology field. Over the years, smartphones have only increased, both in their numbers and usage…

What Is Machine Learning?

Towards Data Science

A high-level overview Photo by Michael Dziedzic on Unsplash Machine learning comes from the idea that machines can learn to program themselves instead of having to be manually programmed. This is bec...

Fastest Way of Deploying Your Machine Learning Models

The Pythoneers

Machine Learning is the Study of Computer Algorithms That Can Improve Overtime Without Any Human interference. It is a branch of Artificial Intelligence. Machine Learning Solves The Problem of Real…

Solving Machine Learning’s ‘Last Mile Problem’ for Operational Decisions

Towards Data Science

In fact, a central tenet of the value proposition for Data Science is that Machine Learning (ML) models can be interpreted and applied in a business context. Insights, classifications and predictions…...