Imbalanced-learn: Handling imbalanced class problem
Author(s): Chetan Ambi A hands-on guide for handling imbalanced data using imbalanced-learn Continue reading on Towards AI » Published via Towards AI …
K-Means Simplified
Author(s): Luthfi Ramadhan Data Science, Machine Learning Short Introduction and Numerical Example of K-Means Clustering Source: http://graphalchemist.github.io/Alchemy/images/features/cluster_team.png What is clustering? Clustering is the process of grouping a set of data objects (or observations) into subsets. Each subset is a cluster, such that objects …
Build Your own Recommendation Engine-Netflix Demystified: Demo+Code
Author(s): Ravi Shankar An intro to recommender systems with live implementation What should I watch this evening? How often you feel after a hectic day at work that what should I watch next? As for me — yes, and more than once. …
Everyone Can Understand Machine Learning — Naive Bayes Classification
Author(s): Christopher Tao Let the algorithm guessing the sex of a person Continue reading on Towards AI » Published via Towards AI …
Heart Disease Prediction using Machine Learning with Python
Author(s): Amit Chauhan Machine Learning approaches to classifying heart disease or not. Continue reading on Towards AI » Published via Towards AI …
Can AlphaZero play Curling?
Author(s): Mikhail Simin, Ph.D. Curling, sometimes referred to as chess on ice, is infinitely harder than chess. Continue reading on Towards AI » Published via Towards AI …
The Simpler Brother of OLS Regression for Machine Learning
Author(s): Sohaib Ahmad How to do KNN Regression and why it’s so good Continue reading on Towards AI » Published via Towards AI …
Solving the Vanishing Gradient Problem with Self-Normalizing Neural Networks using Keras
Author(s): Jonathan Quijas Machine Learning How to Improve Convergence and Performance of Deep Feed-Forward Neural Networks via a Simple Model Configuration Photo by Martin Sanchez on Unsplash Problem Statement Training deep neural networks can be a challenging task, especially for very deep models. …
End-to-End Implementation of Car Price Prediction Machine learning Project with deployment
Author(s): Amit Chauhan Modeling of machine learning algorithm and using heroku for deployment Continue reading on Towards AI » Published via Towards AI …
Basic Linear Algebra for Deep Learning and Machine Learning Python Tutorial
Figure 1: A three-dimensional Euclidean space used to represent solutions of linear equations [1] [2]. Image is a vector derivative from “High-dimensional Simplexes for Supermetric Search” by Richard Connor, Lucia Vadicamo, and Fausto Rabitti [3]. An introductory tutorial to linear algebra for machine …
Credit Card Anomaly Detection using Machine Learning
Author(s): Amit Chauhan Credit card companies shall be able to recognize fraudulent credit card transactions. Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
How to Handle Imbalanced Data in Machine Learning
Author(s): Chetan Ambi Different methods to handle imbalanced data when solving classification tasks Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Feature Selection in Python
Author(s): George Pipis A practical example of how you can select the most important features Continue reading on Towards AI — Multidisciplinary Science Journal » Published via Towards AI …
Deploy Machine Learning Web Apps for Free
Author(s): Aniket Maurya Machine Learning, Programming In this tutorial, I will explain how to deploy any Python web app on Heroku cloud. Photo by Kevin Ku on Unsplash Deploying a Machine Learning model is a difficult task due to the requirement of large memory …
Recommendation System Tutorial with Python using Collaborative Filtering
Author(s): Saniya Parveez, Roberto Iriondo Building a recommendation system using Python and collaborative filtering for a Netflix use case. Introduction A recommendation system generates a compiled list of items in which a user might be interested, in the reciprocity of their current …
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