Santander Customer Satisfaction — A Self Case Study using Python. Classification modeling on the Santander Customer Satisfaction dataset in Kaggle as part of self case study — Applied AI Course using Python (github link and Linkedin)
This case study is based on Kaggle competition conducted in the year 2016. Customer satisfaction is one of the most important key performance indicators in every company today and is seen as a key element of a company’s success. Unhappy customers don’t stick around. What’s more, unhappy customers rarely voice their dissatisfaction before leaving. Santander is a Spanish multinational corporation bank and financial based company which operates in Europe, North and South America, and also Asia. In this Kaggle competition that is conducted by Santander we need to predict whether a customer is dissatisfied with their services early on based on the features provided by the company. This will help them to take proactive steps to improve the customer satisfaction before the customer leaves.
Most popular Data Science and Machine Learning courses — August 2020. This list was last updated in August 2020 — and will be updated regularly so as to keep it relevant
Learning is a new fun in the field of Machine Learning and Data Science. In this article, we’ll be discussing 15 machine learning and data science projects.
This post will help you in finding different websites where you can easily get free Datasets to practice and develop projects in Data Science and Machine Learning.
Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments. Our latest survey report suggests that as the overall Data Science and Analytics market evolves to adapt to the constantly changing economic and business environments, data scientists and AI practitioners should be aware of the skills and tools that the broader community is working on. A good grip in these skills will further help data science enthusiasts to get the best jobs that various industries in their data science functions are offering.
Machine Learning Pipelines performs a complete workflow with an ordered sequence of the process involved in a Machine Learning task. The Pipelines can also