# Tutorials

machine learning
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## Support Vector Machines in R

In this tutorial, you'll try to gain a high-level understanding of how SVMs work and then implement them using R.
23
23
python
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## Analyzing Complexity of Code through Python

Get introduced to Asymptotic Analysis. Learn more about the complexity of the algorithm as well as asymptotic notation, such as Big O, Big θ, and Big Ω notation. Along with the examples of complexity in a different algorithm.
14
14
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## Market Basket Analysis using R

Learn about Market Basket Analysis & the APRIORI Algorithm that works behind it. You'll see how it is helping retailers boost business by predicting what items customers buy together.
57
57
graph
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## Data Visualization with Highcharter in R

Learn how to use Highcharter to create a visualization that creates a buzz.
19
19
python
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## Remote Python and R in SQL

Learn how to remotely send R and Python execution to a SQL Server from Jupyter Notebooks.
8
8
python
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## Dash for Beginners

Learn how to build dashboards in Python using Dash.
53
53
python
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## Hyperparameter Optimization in Machine Learning Models

This tutorial covers what a parameter and a hyperparameter are in a machine learning model along with why it is vital in order to enhance your model’s performance.
36
36
python

## Predicting Employee Churn in Python

Analyze employee churn. Find out why employees are leaving the company, and learn to predict who will leave the company.
47
47
excel
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## Datasets from Images

This tutorial will demonstrate how you can make datasets in CSV format from images and use them for Data Science, on your laptop.
13
13
r programming

## Principal Component Analysis in R

In this tutorial, you'll learn how to use PCA to extract data with many variables and create visualizations to display that data.
r programming
162
162
python
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## Python IF, ELIF, and ELSE Statements

In this tutorial, you will learn exclusively about Python if else statements.
15
15
python

## MeetUp API

In this tutorial, you’ll learn how to pull data directly from MeetUp’s API using Python and write it into a JSON.
10
10
python
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## Image Super-Resolution using Multi-Decoder Framework

In this tutorial, you’ll implement a medical imaging using deep learning paper with Python in Keras.
11
11
python

## DBSCAN: A Macroscopic Investigation in Python

Cluster analysis is an important problem in data analysis. Data scientists use clustering to identify malfunctioning servers, group genes with similar expression patterns, or various other applications.
20
20
python
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## KNN Classification using Scikit-learn

Learn K-Nearest Neighbor(KNN) Classification and build KNN classifier using Python Scikit-learn package.
50
50