statistical modeling
+1

GFLASSO: Graph-Guided Fused LASSO in R

Explore graph-structured multi-task regression with the GFLASSO R package with this tutorial!
10
10
webscraping
+1

Absolute and Weighted Frequency of Words in Text

In this tutorial, you'll learn about absolute and weighted word frequency in text mining and how to calculate it with defaultdict and pandas DataFrames.
12
12
must read
machine learning

A Beginner's Guide to Object Detection

Explore the key concepts in object detection and learn how they are implemented in SSD and Faster RCNN, which are available in the Tensorflow Detection API.
must read
machine learning
64
64
r programming
+1

Network Analysis in R: Centrality Measures

Explore the definition of centrality, learn what different types of centrality measures exist in network analysis and pick the best one for a given network!
41
41
must read
r programming
+1

Logistic Regression in R Tutorial

Discover all about logistic regression: how it differs from linear regression, how to fit and evaluate these models it in R with the glm() function and more!
must read
r programming
+1
96
96
must read
tidyverse
+4

Getting Started with the Tidyverse: Tutorial

Start analyzing titanic data with R and the tidyverse: learn how to filter, arrange, summarise, mutate and visualize your data with dplyr and ggplot2!
34
34
importing & cleaning data
+1

Pickle in Python: Object Serialization

Discover the Python pickle module: learn about serialization, when (not) to use it, how to compress pickled objects, multiprocessing, and much more!
importing & cleaning data
+1
74
74
keras
+1

Implementing Autoencoders in Keras: Tutorial

In this tutorial, you'll learn more about autoencoders and how to build convolutional and denoising autoencoders with the notMNIST dataset in Keras.
59
59
must read
fun
+3

Tidy Sentiment Analysis in R

Learn how to perform tidy sentiment analysis in R on Prince's songs, sentiment over time, song level sentiment, the impact of bigrams, and much more!
102
102
must read
tutorial
+1

Python Object-Oriented Programming (OOP): Tutorial

Tackle the basics of Object-Oriented Programming (OOP) in Python: explore classes, objects, instance methods, attributes and much more!
must read
tutorial
+1
148
148
must read
machine learning
+1

K-Means Clustering in R Tutorial

Learn all about clustering and, more specifically, k-means in this R Tutorial, where you'll focus on a case study with Uber data.
must read
machine learning
+1
99
99
deep learning
+3

Convolutional Neural Networks with TensorFlow

In this tutorial, you'll learn how to construct and implement Convolutional Neural Networks (CNNs) in Python with the TensorFlow framework.
56
56
aws
+2

From Local Machine to Dask Cluster with Terraform

Learn how you can take local code that does grid search with the Scikit-Learn package to a cluster of AWS (EC2) nodes with Terraform.
21
21
r programming
+2

Feature Selection in R with the Boruta R Package

Tackle feature selection in R: explore the Boruta algorithm, a wrapper built around the Random Forest classification algorithm, and its implementation!
34
34
python
+2

Python XML with ElementTree: Beginner's Guide

Learn how you can parse, explore, modify and populate XML files with the Python ElementTree package, for loops and XPath expressions.
77
77