Aug 3

Implementation of Support Vector Classifier and Regressor in Python

Support vector machine(SVM) is a supervised learning algorithm.SVM is used to solve classification and regression problems.It is called Support vector regression for algorithm that is used to solve regression problems.SVM constructs a hyperplane that classifies the data points in multidimensional space. Support Vector Classifier

Support Vector Machine

3 min read

Implementation of Support Vector Classifier and Regressor in Python

Aug 3

Clustering with categorical variables using KModes

In this post, I will cluster the plays I read using K-Modes clustering algorithm. KModes clustering is one of the unsupervised Machine Learning algorithms that is used to cluster categorical variables. Implementation of KModes in Python #importing necessary libraries import pandas as pd from sklearn.preprocessing import MinMaxScaler import matplotlib.pyplot as plt #pip install kmodes from kmodes.kprototypes import KPrototypes from kmodes.kmodes import KModes

K Modes

2 min read

Clustering with categorical variables using KModes

In this post, I will cluster the plays I read using K-Modes clustering algorithm.

KModes clustering is one of the unsupervised Machine Learning algorithms that is used to cluster categorical variables.

Implementation of KModes in Python

#importing necessary libraries

import pandas as pd
from sklearn.preprocessing import MinMaxScaler
import matplotlib.pyplot as plt

#pip install kmodes
from kmodes.kprototypes import KPrototypes
from kmodes.kmodes import KModes

df=pd.read_csv(“plays.csv”)
df.head()

Jul 28

I made a defense analysis of ‘The Defenseless Creature’ of Anton Chekhov using Machine Learning

In June, I acted Madame Schukin in Anton Chekhov’s play ‘A Defenceless Creature’.In the play, the wife Madam Schukin of a former collegiate assessor walks into a bank and demands the deducted pay of her terminated husband.But she is in the wrong place and will not listen to reason.She says…

Machine Learning

3 min read

Jul 20

5 Easy Steps of Data Preprocessing in Machine Learning

Data preprocessing is a first step for creating machine learning model.The raw data contains missing values, outliers or irrelevant attributes.We have to preprocess the raw data to improve the accuracy of the results. In this post, I will use kc_house_data for data preprocessing. Importing data set dataset<-read.csv(“kc_house_data.csv”) library(tidyverse) glimpse(dataset)

Machine Learning

5 min read

Jul 17

5 Regression Algorithms Implementations in Machine Learning using R

I’ll create regression models that predict house prices with kc_house_data dataset. Importing dataset kc_house_data<-read.csv(“kc_house_data.csv”)#import dataset str(kc_house_data)

Machine Learning

7 min read

Implementation of Support Vector Classifier and Regressor in Python

Clustering with categorical variables using KModes

Clustering with categorical variables using KModes

Implementation of KModes in Python

I made a defense analysis of ‘The Defenseless Creature’ of Anton Chekhov using Machine Learning

5 Easy Steps of Data Preprocessing in Machine Learning

5 Regression Algorithms Implementations in Machine Learning using R

Yasemin Demircan