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Tutoriale de Data Science

Avansați în cariera în domeniul datelor cu tutorialele noastre de data science. Vă ghidăm pas cu pas prin funcții și modele complexe de data science.

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AI pentru afaceriAnaliza datelorBig DataData EngineeringDeep LearningGuvernanța datelorMachine LearningMLOpsVizualizarea datelor
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R

Introduction to Monte Carlo Methods

In this tutorial, the reader will learn the Monte Carlo methodology and its applications in data science, like integral approximation, and parameter estimation.

Asael Alonzo Matamoros

R

Merging Datasets in R

In this tutorial, you'll learn to join multiple datasets in R.

Tom Jeon

R

Autocorrelation in R

Practice autocorrelation in R by using course material from DataCamp's Introduction to Time Series Analysis course.

Ryan Sheehy

R

Basic Programming Skills in R

Practice basic programming skills in R by using course material from DataCamp's free Model a Quantitative Trading Strategy in R course.

Ryan Sheehy

R

Time Series Analysis using R: Tutorial

Learn Time Series Analysis with R along with using a package in R for forecasting to fit the real-time series to match the optimal model.

Salin Kc

R

Understanding Confusion Matrix in R

This tutorial takes course material from DataCamp's Machine Learning Toolbox course and allows you to practice confusion matrices in R.

Ryan Sheehy

R

Data Frames in R

This tutorial takes course material from DataCamp's Introduction to R for Finance course and allows you to practice Data Frames.

Ryan Sheehy