must read
r programming
+4

keras: Deep Learning in R

In this tutorial to deep learning in R with RStudio's keras package, you'll learn how to build a Multi-Layer Perceptron (MLP).
65
65
must read
python
+4

Keras Tutorial: Deep Learning in Python

This Keras tutorial introduces you to deep learning in Python: learn to preprocess your data, model, evaluate and optimize neural networks.
179
179
must read
python
+1

Python For Finance: Algorithmic Trading

This Python for Finance tutorial introduces you to algorithmic trading, and much more.
370
370
must read
data manipulation
+1

SQL Tutorial: How To Write Better Queries

Learn about anti-patterns, execution plans, time complexity, query tuning, and optimization in SQL.
must read
data manipulation
+1
121
121
must read
python
+4

TensorFlow Tutorial For Beginners

Learn how to build a neural network and how to train, evaluate and optimize it with TensorFlow
282
282
must read
python
+3

Pandas Tutorial: DataFrames in Python

Explore data analysis with Python. Pandas DataFrames make manipulating your data easy, from selecting or replacing columns and indices to reshaping your data.
184
184
must read
python
+2

Jupyter Notebook Tutorial: The Definitive Guide

This tutorial explains how to install, run, and use Jupyter Notebooks for data science, including tips, best practices, and examples.
264
264
must read
data analysis
+1

Top 5 Python IDEs For Data Science

The best Python IDEs for data science that make data analysis and machine learning easier!
107
107
must read
data visualization
+2

Shareable Data Science with Kyso

In this tutorial, you’ll learn how to create publishable and reproducible data science studies on Kyso’s platform, using interactive plotly visualizations.
must read
data visualization
+2
17
17
must read
artificial intelligence
+3

Differences Between Machine Learning & Deep Learning

In this tutorial, you'll get an overview of Artificial Intelligence (AI) and take a closer look in what makes Machine Learning (ML) and Deep Learning different.
must read
artificial intelligence
+3
55
55
must read
r programming
+1

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.
49
49
must read
r programming
+1

Autocorrelation in R

Practice autocorrelation in R by using course material from DataCamp's Introduction to Time Series Analysis course.
must read
r programming
+1
8
8
must read
sql

Supercharge Your Subqueries

In this tutorial, you'll learn how to create subqueries in SQL to better analyze and report data.
8
8
must read
data analysis
+2

Contingency Analysis using R

In this tutorial, you'll learn with the help of an example how "Contingency Analysis" or "Chi-square test of independence" works and also how efficiently we can perform it using R.
must read
data analysis
+2
35
35
must read
data analysis
+1

Social Network Analysis in Python

Networks today are part of our everyday life. Let's learn how to visualize and understand a social network in Python using Networks.
must read
data analysis
+1
27
27