r programming

+1## 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.neural networks

+1## Introduction to Cyclical Learning Rates

Learn what cyclical learning rate policy is and how it can improve the training of a neural network.must read

sql

## Supercharge Your Subqueries

In this tutorial, you'll learn how to create subqueries in SQL to better analyze and report data.r programming

## 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.ggplot2

+1## Facets for ggplot in R

In this tutorial, you'll learn how to make the most of ggplots facetting functions.machine learning

+2## Machine Learning Black Friday Dataset

In this tutorial, you will gain knowledge on filling null values, preprocessing data, reducing dimensionality using PCA, and split data using K-Fold.python

+3## Using PostgreSQL in Python

In this tutorial, you will be learning about the database in Python, with a few examples in PostgreSQL Database.data manipulation

+1## Latent Semantic Analysis using Python

In this tutorial, you will learn how to discover the hidden topics from given documents using Latent Semantic Analysis in python.r programming

+1## Bootstrap in R

In this tutorial, you will learn how to use the boot package to obtain different types of bootstrapped confidence intervals.r programming

## Subsetting Datasets in R

Subsetting datasets is a crucial skill for any data professional. Learn and practice subsetting data in this quick interactive tutorial!## 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.data manipulation

+2## Diving Deep with Imbalanced Data

Learn the techniques to deal with an imbalanced dataset.## 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.importing & cleaning data

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