This article demonstrates creating similar plots in R and Python using two of the most prominent data visualization packages on the market, namely ggplot2 and Seaborn.
Pandas is one of the most popular Python libraries for cleaning, transforming, manipulating and analyzing data. Learn how to efficiently handle large amounts of data using Pandas.
Pandas is a widely used tool for data manipulation in python. Learn Pandas techniques and data manipulation with pandas in python like impute missing values
This tutorial helps explain the central limit theorem, covering populations and samples, sampling distribution, intuition, and contains a useful video so you can continue your learning.
Proven and tested hands-on strategies to tackle NLP tasks
This article also has a practical example for the neural network. You read here what exactly happens in the human brain, while you review the artificial neuron network.
Brian Hall shares a few of the open source resources he used to teach his college-level Python programming class.
Learn how tensorflow or pytorch implement optimization algorithms by using numpy and create beautiful animations using matplotlib
This blog shows how text data representations can be used to build a classifier to predict a developer’s deep learning framework of choice based on the code that they wrote, via examples of TensorFlow and PyTorch projects.
Ever heard people at your office talking about AUC, ROC, or TPR but been too shy to ask what the heck they're talking about? Well lucky for you we're
Learn how to create a Neural Network (NN) model in R.
New Year Gift to every fellow time-constrained engineer out there looking for a job, here's a list of the best LeetCode questions that teach you core concepts and techniques for each category/type of problems! Many other LeetCode questions are a mash...
With this introduction to R, you’ll master the basics of data analysis in R. You’ll learn how to manipulate data structures such as vectors and data frames.
This is an introduction to support vector regression in R. It demonstrate how to train and tune a support vector regression model.
Implement some of the core OOP principles in a machine learning context by building your own Scikit-learn-like estimator, and making it better.
Providing ideas and resources for K-12 teachers and school-based administrators.
In a previous blog post we have seen how to build Convolutional Neural Networks (CNN) in Tensorflow, by building various CNN architectures (like LeNet5, AlexNet, VGGNet-16) from scratch and training them on the MNIST, CIFAR-10 and Oxflower17 datasets. It starts to get interesting when you start thinking about the practical applications of CNN and other Deep Learning… Read More »Using Convolutional Neural Networks to detect features in sattelite images
This Python tutorial focuses on the basic concepts of Python for data analysis. Learn Python to expand your knowledge and skill set for data science.
Learn about R PCA (Principal Component Analysis) and how to extract, explore, and visualize datasets with many variables. Discover PCA in R today!
Collections of the latest web design resources, learning guides, opinionated views, and free UI tools, that have all been published or released this week.
