LINEAR REGRESSION WITH PYTHON Linear regression is building a model that predicts one variable dependent on other variables that are dependent on each other. The variable to be predicted is known as the dependent variable. In simple words, Linear regression creates a linear relationship model to find the dependent variable. In this tutorial, we will …
Linear model plots In this tutorial we will discuss about Linear Model Plots. Let us start with Linear relationship models: Datasets contain much quantitative analysis, and relating those quantities is one of the most important parts to analyze the data, and these linear model’s plot can be analyzed by using two types of plots. lmplot( …
Introduction to Machine Learning Till now we have covered how to visualize data, plot the graphs, work on data sets. Now it is time to build a machine learning model. We would be learning how to build a machine learning model. Introduction to machine learning: Basically, we train data to predict future unknown values using …
Plotly and cufflinks In this tutorial we shall discuss completely about the Plotly and Cufflinks. Topics covered in the last tutorials: Pandas builtin data visualization Plotly and cufflinks. Plotly is a very powerful library tool to visualize data plots in a very interactive way, we can plot 3d surfaces and zoom in and out those …
Pandas builtin visualization Topics of previous tutorials: Seaborn Plotting Categorical plotting Pandas builtin data visualization. Without importing matplot or seaborn library, we can plot using pandas builtin functions. Types of plots that can be plotted by builtin: DataFrame_name.plot.area ( ) DataFrame_name.plot.bar ( ) DataFrame_name.plot.hist ( ) DataFrame_name.plot.pie ( ) DataFrame_name.plot.line ( ) DataFrame_name.plot.scatter ( ) …
Estimation and heat plot Content covered in last tutorial: Categorical distribution plots Boxplot Violinplot boxenplot In this tutorial we would learn about Categorical estimate plots pointplot( ): This plot takes the central tendency of occurrence of that plot of particular category, This plot is better than barplot for comparing central occurrence tendency. The important note …
Categorical Distribution Plots In this tutorial we are going to discuss about Categorical Distribution Plots. Topics of last tutorial: Categorical plotting stripplot swarmplot In this tutorial we would learn all three types of categorical distribution plots. boxplot ( ): A boxplot is something that would give an overview of the complete data.This is all about …
Categorical Plots | Plotting in Python What is categorical: Like numerical values which possess numbers, categorical values possess categories such as gender (contains two categorical values ) , year ( contains 12 categorical values ). Now we will be using another data set named ‘tips’ , which provides data of some kind of flowers. All …
Pair plot in seaborn In the last tutorial plotting was made using only distplot ( ) function and passing different parameters through it. Now in this tutorial , we shall work with another plot names as pairplot. This plot function plots with all possible columns present in the data set. In this tutorial also we …
Introduction to seaborn in python Seaborn in python is a library for statistical plotting , built upon the matplot library ( which means matplot is the base to learn seaborn ) . Seaborn has more features and styles compared to the matplot library. This library is designed to work very well with pandas dataframe object. …
