You must prepare your raw data using data transforms prior to fitting a machine learning model. This is required to…
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How to Automate Sales Meeting Logs using Backstop Excel Toolkit
This serves as a field guide for those Backstop practitioners in the wild. We will illustrate a use case by…
Continue ReadingLaravel — Extending Query Builder
Laravel — Extending Query BuilderDennis SminkBlockedUnblockFollowFollowingMay 24Sometimes the findOrFail() (or any other default) method is not enough and you need to have a…
Continue ReadingReshaping Pandas DataFrames
To do this, I'll take our DataFrame and make the following adjustments:Remove the extra columns. Drop rows where language value…
Continue ReadingDealing with highly correlated columns in ML models
It is commonly accepted that the square of correlation is a good approximation for how well a column is described…
Continue Reading10 Python Pandas tricks to make data analysis more enjoyable
There’re ways to fix these issues. A. Highlight all negative values in a dataframe. (example revised from https://pandas. pydata. org/pandas-docs/stable/user_guide/style.…
Continue ReadingKeeping Pandas DataFrames clean when importing JSON
Keeping Pandas DataFrames clean when importing JSONKarl LoreyBlockedUnblockFollowFollowingMar 16Photo by Samuel Zeller on UnsplashAt First Momentum, I do a lot of…
Continue ReadingDid You Know Pandas Can Do So Much?
Did You Know Pandas Can Do So Much?Don’t Code Python Without Exploring Pandas FirstFarhad MalikBlockedUnblockFollowFollowingMar 16This article will outline all of the…
Continue ReadingPerforming Classification in TensorFlow
Performing Classification in TensorFlowHarshdeep SinghBlockedUnblockFollowFollowingFeb 25In this article, I will explain how to perform classification using TensorFlow library in Python.…
Continue ReadingHow to build your data science muscle memory: Slicing and Mapping Data for Machine Learning
It won’t filter out rows or columns but will show NA for the cells that don’t meet the requirements:If we…
Continue ReadingPractical NumPy — Understanding Python library through its functions
Practical NumPy — Understanding Python library through its functionsKillol GovaniBlockedUnblockFollowFollowingJan 10Before embarking on the journey of data science and machine learning, it…
Continue ReadingData Dimensionality Reduction in the Age of Machine Learning
Click to learn more about author Rosaria Silipo. Machine Learning is all the rage as companies try to make sense…
Continue ReadingSingular Value Decomposition with Example in R
Let’s see. When we decompose our matrix A into U, D, V then a few left-most columns of all three…
Continue ReadingA Simple Guide to creating Predictive Models in Python, Part-2b
Therefore the below method is easier and scalable# first just take a look at all the columnslist(deep_feat.columns)Output:['CreditScore', 'Geography', 'Gender', 'Age',…
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