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How to Connect R with SQL
Need to Connect R with SQL It is common for Data Analysts/Scientists to connect R with SQL. For that reason,
Document Letter Frequency in Python
Letter Frequency We will provide you a walk-through example of how you can easily get the letter frequency in documents
Multi-Armed Bandit with Thompson Sampling
Few words about Thompson Sampling Thompson Sampling is an algorithm for decision problems where actions are taken in sequence balancing
Permutations in R
During the interview process for Data Science positions, it is likely to be asked to calculate Combinations or Permutations. Today
How to Create Dummy Pandas Data Frames
Mainly for testing purposes, sometimes we want to create some dummy data frames. Pandas give us this possibility with the
LanguageTool: Grammar and Spell Checker in Python
LanguageTool LanguageTool is an open-source grammar tool, also known as the spellchecker for OpenOffice. This library allows you to detect
Must-Known hack for selecting columns in pandas
We are referring to the filter function of Pandas Dataframes. We have already mentioned it in our dplyr pipes in
Example of a Machine Learning Algorithm to Predict Spam Emails in Python
Ham or Spam One of the most common projects, especially for teaching purposes, is to build models to predict if
Spelling Recommender with NLTK
Spelling Recommender We showed how you can build an autocorrect based on Jaccard distance by returning also the probability of
How to Build an Autocorrect in Python
Description We assume that you are familiar with the concepts of String Distance and String Similarities. You can also have
Text Summarization in Python with Gensim
Gensim package provides a method for text summarization. You can have a look at the tutorial and at some examples.
The easiest way to connect python with google sheets
The best way to do it is by using the library gsheets but first, we need some preparation. Let’s install
Covid-19: Correlation Between Confirmed Cases and Deaths
What is the daily correlation of Confirmed versus Death Cases in Covid-19. In other words, the people who have passed
Image Processing in OpenCV Python
We will show how you can apply image processing with OpenCV in Python. We will work with this image obtained
How to Backtest your Crypto Trading Strategies in R
Few words about Trading Strategies One of the biggest challenges is to predict the Market. Many people have developed their
How to use global variables inside a function
We are sure that at some point in your programming life you have received an error like UnboundLocalError: local variable
Interview questions about Stats and Probabilities
For Data Science positions, during the interview process, is common to ask questions about Statistics and Probabilities. We will provide
Avoid apply() function in large datasets
When we are dealing with large datasets and there is a need to calculate some values like the row/column min/max/rank/mean
How to run Chi-Square Test in Python
We will provide a practical example of how we can run a Chi-Square Test in Python. Assume that we want
GloVe Word Embeddings on Plot of the Movies
Introduction Every word can be represented into N-Dimension Space after applying Machine Learning Algorithms on documents. The most famous algorithms
Non-Negative Matrix Factorization for Dimensionality Reduction
We have explained how we can reduce the dimensions by applying the following algorithms: PCA and t-SNE Autoencoders We will
