Machine learning, modelling, and data analysis all need suitable datasets to test the algorithms I still clearly remember that when I pursued my PhD in…
Modelselect: A Python Package Helps Fast Develop Optimal Linear Regression Model
Modelselect package helps get an Optimal Linear Regression Model by removing insignificant variables and solve multicollinearity problems I developed a small package called modelselect, which…
Descripstats: A Python Package Generates Richer Descriptive Statistics in Pandas DataFrame
Descripstats package add more descriptive statistics to the default describe of Pandas For numeric data, the describe( ) function of Python Pandas library provides a very…
Normscaler: Convenient Data Normalization Package in Python
Normascaler has different data normalization methods including MinMaxScaler, MaxAbsScaler, RobustScaler, StandardScaler, Normalizer, DecimalScaler In the previous two posts, we have talked about different data normalization…
A Convenient Stepwise Regression Package to Help You Select Features in Python
Display how to apply stepwise regression with a concrete real-world example Stepwise regression is a very helpful approach to select the statistic significant predictors in…
Handy Methods to Install Packages and Access Their Information in the Jupyter Notebook
To introduce different and convenient methods to install packages and check their information directly in the Jupyter notebook rather than in the terminal Normally we install…
