r programming
+1Understanding 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
+1Introduction 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
+1Facets for ggplot in R
In this tutorial, you'll learn how to make the most of ggplots facetting functions.machine learning
+2Machine 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
+3Using PostgreSQL in Python
In this tutorial, you will be learning about the database in Python, with a few examples in PostgreSQL Database.data manipulation
+1Latent 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
+1Bootstrap 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
+2Diving 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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