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Introduction to Polynomial Regression (with Python Implementation)

Polynomial Regression in Python. In this article, we learn about polynomial regression in machine learning, why we need it, and its Python implementation.

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4 Boosting Algorithms You Should Know

Learn about the boosting algorithms in machine learning and their role in improving prediction accuracy. Boost your knowledge in ML.

Demystifying the Mathematics Behind Convolutional Neural Networks (CNNs)

An introduction to neural networks. Understand the math behind convolutional neural networks with forward and backward propagation & Build a CNN using NumPy.

Build your first Machine Learning pipeline using scikit-learn!

Learn to build a machine learning pipeline from problem to prediction, covering data exploration, model building, & feature importance!

Build Your First Text Classification model using PyTorch

In this article learn how to solve text classification problems and build text classification models and implementation of text classification in pytorch.

Understanding Class Sensitivity in Classification Problems (using a CIFAR-10 Case Study!)

This article presents two interesting methods of dealing with class sensitivity in a classification problem in the space of machine learning.

A Guide to Link Prediction – How to Predict your Future Connections on Facebook

Can you predict your next friend request on Facebook? Here is an introduction on link prediction and learn about link prediction in social networks.

6 Powerful Feature Engineering Techniques For Time Series Data (using Python)

Feature engineering for time series data can give you an edge over your competition. Learn how to perform this technique for time series data using python.

Image Augmentation for Deep Learning using PyTorch – Feature Engineering for Images

Image augmentation is a powerful technique to work with image data for deep learning. Learn pytorch image augmentation for deep learning.