Pandas Tutorial: Importing Data with read_csv()
Importing data is the first step in any data science project. Learn why today's data scientists prefer pandas' read_csv() function to do this.deep learning
+2Demystifying Generative Adversarial Nets (GANs)
Learn what Generative Adversarial Networks are without going into the details of the math and code a simple GAN that can create digits!r programming
+1Long to Wide Data in R
Learn why you would transform your data from a long to a wide format and vice versa and explore how to do this in R with melt() and dcast()!deep learning
+2Stock Market Predictions with LSTM in Python
Discover Long Short-Term Memory (LSTM) networks in Python and how you can use them to make stock market predictions!Markov Chains in Python: Beginner Tutorial
Learn about Markov Chains, their properties, transition matrices, and implement one yourself in Python!Survival Analysis in R For Beginners
In this tutorial, you'll learn about the statistical concepts behind survival analysis and you'll implement a real-world application of these methods in R.statistical modeling
+1GFLASSO: Graph-Guided Fused LASSO in R
Explore graph-structured multi-task regression with the GFLASSO R package with this tutorial!webscraping
+1Absolute 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.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.r programming
+1Network 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!importing & cleaning data
+1Reading and Writing Files in Python Tutorial
Learn how to open, read and write data into flat files, such as JSON and text files, as well as binary files in Python with the io and os modules.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!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!importing & cleaning data
+1Pickle 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!keras
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