statistical modeling
+1

Contingency Tables in R

In this tutorial, you'll learn how to create contingency tables and how to test and quantify relationships visible in them.
16
16
git
+1

GIT SETUP: The Definitive Guide

In this tutorial, you'll learn how to set up Git on your computer in different operating systems.
15
15
python
+2

Introduction to Deep Learning in Python

Learn the basics of deep learning and neural networks along with some fundamental concepts and terminologies used in deep learning.
27
27
machine learning
+1

Introduction to H2O AutoML

In this tutorial, you will learn about H2O and have a glimpse of its autoML functionality.
13
13
python
+1

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.
15
15
python

Introduction to Python Metaclasses

In this tutorial, learn what metaclasses are, how to implement them in Python, and how to create custom ones.
17
17
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
bayes
+2

Naive Bayes Classification using Scikit-learn

Learn how to build and evaluate a Naive Bayes Classifier using Python's Scikit-learn package.
27
27
python

Introduction to Reinforcement Learning

In this tutorial, you'll learn the basic concepts and terminologies of reinforcement learning. At the end of the tutorial, we'll discuss the epsilon-greedy algorithm for applying reinforcement learning based solutions.
27
27
r programming
+1

Regularization: Ridge, Lasso and Elastic Net

In this tutorial, you will get acquainted with the bias-variance trade-off problem in linear regression and how it can be solved with regularization.
40
40
python

Working With Zip Files In Python

In this tutorial, you are going to learn how to work with Zip Files in Python using the zipfile module. zipfile is a Python built-in module.
7
7
machine learning
+2

Automated Machine Learning with Auto-Keras

Learn about automated machine learning and how it can be done with auto-keras.
14
14
machine learning
+2

Introduction to Machine Learning in Python

In this tutorial, you will be introduced to the world of Machine Learning (ML) with Python. To understand ML practically, you will be using a well-known machine learning algorithm called K-Nearest Neighbor (KNN) with Python.
34
34
r programming
+3

Comparison of BI and Analytics Platforms

In this tutorial, you will learn about different factors that are taken into consideration before choosing your Analytics Platform both at the organization and individual level.
8
8
r programming
+2

Overview of Atom IDE

In this tutorial, you'll learn the importance of IDEs, how to set-up Atom, and download packages.
10
10