The Explanation Before reading this explanation If you have not read Machine Learning implementation of this post then read it here Now let's see what the model gives us from the ML explanability tools. Permutation importance is the first tool for…
Heart Disease? Explaining the ML Model | Part 1
Diagnosing Heart Disease Using ML Explainability Tools and Techniques Contents IntroductionThe DataThe ModelThe ExplanationConclusion Introduction This dataset gives a number of variables along with a target condition of having or not having heart disease. Below, the data is first used…
Marketing strategy EDA and Prediction with 97% Accuracy
The data is related with direct marketing campaigns of a Portuguese banking institution. The marketing campaigns were based on phone calls
Deep Learning for Time Series Forecasting
The goal of this notebook is to develop and compare different approaches to time-series problems. Content: The content here was inspired by this article at machinelearningmastery.com, How to Get Started with Deep Learning for Time Series Forecasting (7-Day Mini-Course) Dependencies import warnings…
How to List Modules, Search Path, Loaded Modules in Python
What are modules in Python? Modules refer to a file containing Python statements and definitions
Stroke Prediction-EDA-Classification-Models Python
Stroke is a medical emergency. A stroke occurs when blood flow to a part of your brain is interrupted or reduced, preventing brain tissue from getting oxygen and nutrients. Brain cells begin to die within minutes
How to Create and Maintain Info Objects Using Eclipse Data Modelling for SAP BW 7.5
Eclipse Modelling tools provide a unified modelling environment for configuration, management, and maintenance of BW and HANA metadata objects.
Bootstrapping and CIs with Veteran Suicides
This very sobering dataset documents the occurrences of suicides between veterans and non-veterans by state. As I stated in the introduction, state-side suicide rates amongst veterans are highly elevated over those of ordinary civilians. We can use this dataset to understand how much higher they are by building a confidence interval (often shorthanded to CI) around the data.
Decision Statements in Python
While programming sometimes you need to take some decisions. You need to test some condition: true or false. In Python there are various types of statements for this. Some of them are given below. If StatementIf Else statementNested If statementsIf-elif…
5 Algorrithms Every Programmer Should Know
A programming algorithm is a computer procedure that is a lot like a recipe (called a procedure) and tells your computer precisely what steps to take to solve a problem or reach a goal. Algorithms play an important role in the…