python
+1Detecting 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!r programming
+1Linear Regression in R
In this tutorial, you will learn the basics behind a very popular statistical model; the linear regression.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".scikit-learn
+1Support 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.machine learning
Understanding Model Predictions with LIME
Learn about Lime and how it works along with the potential pitfalls that come with using it.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.r documentation
+1Continuous deployment of package documentation with pkgdown and Travis CI
Follow these simple steps to enable continuous deployment of your package documentation.K-Means Clustering in Python with scikit-learn
Learn about the inner workings of the K-Means clustering algorithm with an interesting case study.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.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.python
+1Reconstructing 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.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.python
+1Reconstructing 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.machine learning
+6Machine 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.python
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