must read
python
+1

Using XGBoost in Python

XGBoost is one of the most popular machine learning algorithm these days. Regardless of the type of prediction task at hand; regression or classification.
47
47
r documentation
+1

Continuous deployment of package documentation with pkgdown and Travis CI

Follow these simple steps to enable continuous deployment of your package documentation.
9
9
must read
scikit-learn
+1

K-Means Clustering in Python with scikit-learn

Learn about the inner workings of the K-Means clustering algorithm with an interesting case study.
must read
scikit-learn
+1
33
33
python

Exception and Error Handling in Python

Error handling increases the robustness of your code, which guards against potential failures that would cause your program to exit in an uncontrolled fashion.
9
9
python

Scope of Variables in Python Tutorial

In this tutorial, you will learn about Python's scope of variables, the global and nonlocal keywords, closures and the LEGB rule.
14
14
python
+1

Reconstructing Brain MRI Images Using Deep Learning (Convolutional Autoencoder)

In this tutorial, you'll learn & understand how to read nifti format brain magnetic resonance imaging (MRI) images, reconstructing them using convolutional autoencoder.
16
16
must read
git
+3

Setup a Data Science Environment on your Computer

Learn about the various options you have to setup a data science environment with Python, R, Git, and Unix Shell on your local computer.
33
33
python
+1

Reconstructing Fingerprint Images Using Deep Learning (Convolutional Autoencoder)

In this tutorial, you will learn and understand how to read jpeg format fingerprint images, reconstructing them using convolutional autoencoder.
11
11
machine learning
+6

Machine Learning and NLP using R: Topic Modeling and Music Classification

In this tutorial, you will build four models using Latent Dirichlet Allocation (LDA) and K-Means clustering machine learning algorithms.
48
48
python
+1

Predicting the Status of H-1B Visa Applications

Learn how you can predict the status of a H-1B visa application with Machine Learning in Python.
15
15
machine learning
+1

Decision Trees in R

Learn all about decision trees, a form of supervised learning used in a variety of ways to solve regression and classification problems.
30
30
python

The Pip Python Package Manager

Learn about Pip, a powerful tool that helps you properly manage distribution packages in Python.
17
17
must read
pandas
+2

Using Python to Power Spreadsheets in Data Science

Learn how Python can be used more effectively than Excel, with the Pandas package.
95
95
python
+1

Converting Strings to Dates as datetime Objects

Learn how to convert strings to datetime objects in Python and why doing so has become standard practice for working data scientists today.
28
28
must read
neural networks
+2

TensorBoard Tutorial

Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
must read
neural networks
+2
31
31