Tutorials

python
+1

Detecting True and Deceptive Hotel Reviews using Machine Learning

In this tutorial, you’ll use a machine learning algorithm to implement a real-life problem in Python. You will learn how to read multiple text files in python, extract labels, use dataframes and a lot more!
31
31
r programming
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Linear Regression in R

In this tutorial, you will learn the basics behind a very popular statistical model; the linear regression.
20
20
must read
learning data science

Common data science pitfalls & how to avoid them!

In this tutorial, you'll learn about some pitfalls you might experience when working on data science projects "in the wild".
must read
learning data science
15
15
scikit-learn
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Support Vector Machines with Scikit-learn

In this tutorial, you'll learn about Support Vector Machines, one of the most popular and widely used supervised machine learning algorithms.
12
12
machine learning

Understanding Model Predictions with LIME

Learn about Lime and how it works along with the potential pitfalls that come with using it.
8
8
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.
30
30
r documentation
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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
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22
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.
11
11
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.
12
12
must read
git
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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.
30
30
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.
39
39
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