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Data Scientist: Natural Language Processing Specialist
NLP Data Scientists find meaning in language, analyze text and speech, and create ...
Statistics: Quartiles, Quantiles, and IQR
Sometimes data needs to be described in terms of distributions, quartiles, quintiles, and ...
Hypothesis Testing: Experimental Design
Learn how to set up experiments to both address research questions and weigh the trade ...
Intro to Hyperparameter Tuning with Python
Improve machine learning models with hyperparameter tuning.
Regression Discontinuity Design and Instrumental Variables
Mimic experiments with the data you already have and measure the effects of treatment ...
Ensemble Methods in Machine Learning
Explore bagging, boosting, stacking, and more in this introduction to ensemble methods in ...
Statistics: Variance and Standard Deviation
Learn how to calculate, interpret, and report the variance and standard deviation
How to Choose a Linear Regression Model
Learn about the differences between different regression models and how to decide which ...
Learn dplyr
Learn how to organize data, manipulate datasheets, and clean data frames in R using dplyr.
Statistics: Mean, Median, Mode
Get started with the most popular summary statistics: mean, median, and mode.
Build a Machine Learning Pipeline
Learn how to build machine pipelines that automate your workflow and keep everything ...