This tutorial will teach you how to create a CNN in Tensorflow and Keras from scratch and how to apply it to classify images in the CIFAR Dataset into different categories.

Discover the potential of convolutional neural networks. Learn about components, hyperparameters, and influential architectures like GoogLeNet and EfficientNet.

Understand and develop a feed forward neural network with TensorFlow, a simple and powerful deep learning model. This post shows you how.

Discover the power of R in performing simple linear regression, a key tool in predictive analytics.

Dive into the world of multiple linear regression with R, a statistical method that can capture hidden relationships between a dependent variable and multiple independent variables.

Learn multiple linear regression with Python, a statistical tool that can capture hidden relationships between a dependent variable and multiple independent variables.

Learn about simple linear regression in python, a statistical tool that reveals the relationship between two variables.

Explore Polynomial Regression in Python, a statistical method that can fit relationship between variables as an nth degree polynomial.