Introduction Pywedge is a new technique for data visualization, data processing, and EDA Pywedge is a pip installable Python package that intends to, Make multiple charts in a single line of code, to enable the user to quickly read through the charts and can make informed choices in pre-processing steps Quickly…

Overview PyCaret is an open-source, low-code machine learning library in Python that aims to reduce the cycle time from hypothesis to insights. It is well suited for seasoned data scientists who want to increase the productivity of their ML experiments by using PyCaret in their workflows or for citizen data scientists…

A Confusion Matrix is a performance measurement technique for Machine learning classification. It is a kind of table that helps you to know the performance of the classification model on a set of test data for that the true values are known. The term confusion matrix itself is very…

Before going to start Sweetviz, let’s talk about EDA first. EDA is statistics exploratory data analysis (EDA) is an approach to analyzing data sets to summarize their main characteristics, often with visual(Graphical representation) methods. …

Goal of Analysis The goal of this project is to use these features in order to make predictions if a patient has cardiovascular disease. Classification models like Logistics Regression will be used in this dataset. Datasets We will be training and testing our datasets and predict the outcomes. Here we get datasets https://www.kaggle.com/sulianova/cardiovascular-disease-dataset Data Exploration Exploration…

How I have shifted my career towards Data Science? Each year, millions of people make an internal shift, reaching a point where they are ready to explore a new career. For some, this transition means leaving the workforce to go back to school so they can develop a new skill-set…