Introduction

Thank you for visiting My ML buddy.

The main idea of this application is to facilitate the people related to data science and machine learning. 

This app gives you all one solution for anything related to data science.

Features:

You can perform,

Exploratory Data Analysis

Basic descriptive statistics( minimum, maximum, median, standard deviation, etc.)

Histogram

Bar chart

Interactive scatter plot

interactive boxplot

Violin Plot

Pearson Correlation Heatmap

Preprocessing

Missing values imputation

1. Removing rows with missing values
2. Mean imputation for numeric variable
3. Mode imputation for categorical variable
4. Imputation with 0.
5. Iterative (multivariate) imputation
6. Most frequent / Constant imputation

Standardization

Normalization

Missing value detection

Outlier detection

Outlier detection & Removal

1. Z-score method
2. IQR method
3. Isolation Forest
4. Local Outlier Factor
5. DBSCAN clustering

New variable creation based on existing variables, mathematical equations

Machine Learning Models

Linear regression

KNN Regressor

Decision tree Regressor

Random forest regressor

Support Vector Machine Regressor

Logistic Regression

KNN classifier

Decision Tree classifier

Random forest classifier

Support Vector Machine classifier

Error metrics

Mean Squared Error (MSE)

Root Mean Squared Error (RMSE)

Mean Absolute Error (MAE)

Confusion matrix

Complete classification report.

Actual VS Predicted Plots.

If you find any case please report it to sajidhafeex@gmail.com or admin@rprogrammers.com, Thank you.