Vertabelo Academy Blog | Customer Churn Prediction with Python

In this article machine learning is applied for customer churn prediction problem. The Kaggle dataset with 14 columns (some of them are categorical) is used. Random Forest algorithm was selected as machine learning approach for customer churn problem.

Using Machine Learning to Retrieve Relevant CVs Based on Job Description

Machine learning model such as average word embeddings (AWE) is used to retrieve relevant CVs based on job description. Principal Component Analysis (PCA) as a reduction technique is also utilized.

Attention and Augmented Recurrent Neural Networks

Article about different neural network architectures. It includes also section about Neural Programmer - application of neural net for programming tasks

A Google Brain Program Is Learning How to Program – SyncedReview – Medium

Using machine learning to create programs that can automatically write or modify programming code

Intro to text classification with Keras: automatically tagging Stack Overflow posts

How to build simple text classification model to predict tag. Training, evaluation, prediction and building confusion matrix is covered.

Keyword Extraction with TF-IDF and Python , Scikit-Learn - Full Working Example

Full working example how to use TF-IDF and scikit-learn to extract important keywords from documents. Stack Overflow dataset

Why I used PHP to teach myself Machine Learning

The author applied machine learning for automatic tagging documents before saving in Pocket application.

How I Built Animated Plots in R to Analyze my Fitness Data

Showcase of fitness tracker data analysis. Nice data visualization with interactive and animated plots in R.

Machine learning for anomaly detection and condition monitoring

Several techniques with detailed explanation and code are proposed for anomaly detection

A curated list of applied machine learning and data science notebooks and libraries accross different industries.

Selected Machine Learning and NLP Resources