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
+1Implementing 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.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!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!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.deep learning
+3Convolutional 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.aws
+2From 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.r programming
+2Feature 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!python
+2Python 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.facebook live
+4Experts' Favorite Data Science Techniques
What are the most favorite techniques of the professional data scientists interviewed in DataFramed, a DataCamp podcast? Explore all 6 of them in this tutorial!Deploy Your Facebook Messenger Bot with Python
A step-by-step guide to easily deploying a Facebook Messenger chatbot with Python, using Flask, requests and ngrok.r programming
+2Web Scraping in R: rvest Tutorial
Explore web scraping in R with rvest with a real-life project: extract, preprocess and analyze Trustpilot reviews with tidyverse and tidyquant, and much more!python
+3Pandas Tutorial: DataFrames in Python
Explore data analysis with Python. Pandas DataFrames make manipulating your data easy, from selecting or replacing columns and indices to reshaping your data.statistical modeling
+2Analyzing Poker Hands with Python
Analyze poker hands with Python and easily implement statistical concepts such as combinations, permutations, (in)dependent events and expected value.machine learning
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