-
What is Predictive Analytics | An Introductory Guide For Data Science Beginners!
In predictive analytics, we find the factors responsible, gather data, apply techniques from machine learning, data mining, predictive modeling.
Keerthana 21 Jun, 2021
-
5 Techniques to Handle Imbalanced Data For a Classification Problem
Let's discover how to handle imbalanced data, define imbalanced datasets, and discuss the techniques for handling them. Read Now!
saikat 04 Apr, 2025
-
A Quick Overview Of AROC vs Accuracy vs ROC
Explore the contrasts between AROC vs accuracy vs ROC on our informative website, offering a quick summary of these essential metrics. Dive in Now!
Mrinal Singh 03 Jan, 2024
-
Streamlit for ML Web Applications: Customer’s Propensity to Purchase
In this blog, we have demonstrated building a Streamlit Application that takes in specific user inputs and predicts the probability
Sindhu 20 Jun, 2021
-
How to get the most out of Bias-Variance Tradeoff?
In this post, we will explain the bias-variance tradeoff in machine learning and how we can get the most out of it as a data scientist
Karan 25 Aug, 2025
-
Flight Price Prediction -A Regression Analysis using Lazy Prediction
Lazy Prediction saves time and efforts to build a machine learning model by providing model performance and training time.
kajal 19 Apr, 2023
-
Support Vector Machine: Introduction
Support Vector Machine is a supervised learning algorithm that is used for both classification and regression analysis, We will discuss svm.
Sarvagya Agrawal 29 Oct, 2024
-
Juicing out the Diabetes Patterns amongst Indians using Machine Learning
Let us write some code in python to understand the dataset and use machine learning to understand the situation of diabetes in India
Saptarshi 18 Jun, 2021
-
Beginner’s Guide to Machine Learning Explainability
In this article, we are going to explore what Machine Learning Explainability really is and how data scientists can benefit from this
Deepak 17 Jun, 2021
-
Random Forest Algorithm in Machine Learning
Explore the Random Forest algorithm: its applications, key features, differences from decision trees, important hyperparameters. Read Now!
Sruthi 06 Oct, 2025
