Outlier detection using Local Outlier Factor (LOF)

What is an Outlier? In Normal language outlier is a person or thing that is situated away or detached away from a body or system. But in Statistics In statistics, an outlier is a data point that differs significantly from…

Namespace and Scope in Python

Namespaces A namespace is a collection of currently defined symbolic names along with information about the object that each name references. Python itself maintains a namespace in the form of a Python dictionary. You can think of a namespace as…

7 Must-Know Data Wrangling Operations with Python Pandas

Pandas is a highly popular data analysis and manipulation library. It provides numerous functions to transform raw data to a more useful or appropriate format for data analysis and machine learning pipeline. Real life data is almost always messy and…

Number of days after which tank will become empty

Given a tank with capacity C liters which is completely filled in starting. Everyday tank is filled with l liters of water and in the case of overflow extra water is thrown out. Now on i-th day i liters of…

Heart Disease? Explaining the ML Model | Part 2

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…

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

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