Blog

• Building an Employee Churn Model in Python to Develop a Strategic Retention Plan

  A comprehensive guide to building machine learning models for predicting employee churn, featuring exploratory data analysis, model comparison, and strategic retention recommendations.

• Soft Skills Will Make or Break You as a Data Scientist

  Essential insights on why soft skills are crucial for data scientists, covering communication, stakeholder management, and building successful data-driven teams in business environments.

• Using Unsupervised Learning to Plan a Vacation to Paris: Geo-location Clustering

  A practical application of K-Means and HDBSCAN clustering algorithms to optimize travel itinerary planning using geo-location data from Paris landmarks and attractions.

• Build Your First Deep Learning Classifier using TensorFlow: Dog Breed Example

  A comprehensive tutorial on building your first deep learning classifier using TensorFlow and Keras, featuring Convolutional Neural Networks, transfer learning, and practical dog breed classification with 80% accuracy.

• Setting up Databases with PostgreSQL, PSequel, and Python

  A comprehensive guide to setting up and working with PostgreSQL databases for data science, covering installation, basic SQL operations, and Python integration using psycopg2 for handling large datasets.

• Using R to Visualise Data on Aviation Tragedies in the US since 1948

  An in-depth exploratory data analysis of aviation accidents in the US from 1948-2017 using R and ggplot2, examining relationships between weather conditions, phases of flight, engine types, and fatalities using NTSB data.