How to Integrate Machine Learning into Web Applications with Flask
We all have come across various web applications that use machine learning. For example, Netflix and YouTube use ML to personalize your experience by …
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Building Sales Prediction Web Application using Machine Learning Dataset
Introduction There are a lot of resources on the internet about finding insights and training models on machine learning datasets however very few articles …
Key Difference between R-squared and Adjusted R-squared for Regression Analysis
Overview Understand the concept of R-squared and Adjusted R-Squared Get to know the key differences between R-Squared and Adjusted R-squared Introduction When I …
New to Kaggle? Here’s How you can Get Started with Kaggle Competitions
Overview Kaggle can often be intimating for beginners so here’s a guide to help you started with data science competitions We’ll use the House …
Predictive Modeling in Excel – How to Create a Linear Regression Model from Scratch
Overview You can perform predictive modeling in Excel in just a few steps Here’s a step-by-step tutorial on how to build a linear regression …
An Introduction to Machine Learning Libraries for C++
Introduction I love working with C++, even after I discovered the Python programming language for machine learning. C++ was the first programming language I …
Machine Learning using C++: A Beginner’s Guide to Linear and Logistic Regression
Why C++ for Machine Learning? The applications of machine learning transcend boundaries and industries so why should we let tools and languages hold us …
Feature Scaling for Machine Learning: Understanding the Difference Between Normalization vs. Standardization
Introduction to Feature Scaling I was recently working with a dataset that had multiple features spanning varying degrees of magnitude, range, and units. This …
Support Vector Regression Tutorial for Machine Learning
Unlocking a New World with the Support Vector Regression Algorithm Support Vector Machines (SVM) are popularly and widely used for classification problems in machine …
What is Multicollinearity? Here’s Everything You Need to Know
Introduction Multicollinearity might be a handful to pronounce but it’s a topic you should be aware of in the machine learning field. I am …
