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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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Stocks, Significance Testing & p-Hacking

Learn how to manipulate time series data with pandas and conduct significance testing through simulation using Python, to analyze stock market volatility.

Patrick David

11 decembrie 2018

Naive Bayes Classification Tutorial using Scikit-learn

Learn how to build and evaluate a Naive Bayes Classifier using Python's Scikit-learn package.
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Abid Ali Awan

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Avinash Navlani

15 ianuarie 2026

Overview of Atom IDE

In this tutorial, you'll learn the importance of IDEs, how to set-up Atom, and download packages.
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Sejal Jaiswal

21 noiembrie 2018

A Loops in R Tutorial - Usage and Alternatives

A tutorial on loops in R that looks at the constructs available in R for looping. Discover alternatives using R's vectorization feature.
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Carlo Fanara

30 ianuarie 2023

Machine Learning in R for beginners

This small tutorial is meant to introduce you to the basics of machine learning in R: it will show you how to use R to work with KNN.
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Karlijn Willems

20 noiembrie 2018

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.
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Asael Alonzo Matamoros

9 noiembrie 2018

Essentials of Linear Regression in Python

Learn what formulates a regression problem and how a linear regression algorithm works in Python.
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Sayak Paul

31 octombrie 2018

Introduction to MongoDB and Python

In this tutorial, you'll learn how to integrate MongoDB with your Python applications.
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Derrick Mwiti

30 octombrie 2018

Merging Datasets in R

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

29 octombrie 2018

Role of Underscore(_) in Python Tutorial

In this tutorial, you're going to learn about the uses of underscore(_) in python.
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Hafeezul Kareem Shaik

26 octombrie 2018