CODE SnippeTs

Premium Member Only Content
Take a look inside
Data Transformation

Data Transformation

Python

Log transformation, clipping methods, minmax scaler, standard scaler and robust scaler, visit Data Transformation and Feature Engineering in Python for full code walk-through.

Exploratory Data Analysis (EDA)

Exploratory Data Analysis (EDA)

Python

Main EDA techniques: univariate analysis, multivariate analysis, and feature engineering ... visit "Semi-Automated Exploratory Data Analysis Process in Python" for full code walk-through.

Linear Regression

Linear Regression

Python

This notebook provides a practical guide to implement linear regression, walking through the model building lifecycle: EDA, feature engineering, model implementation and model evaluation. Please visit article "A Practical Guide to Linear Regression" for step by step guide.

Logistic Regression

Logistic Regression

Python

This is a step by step guide of implementing Logistic Regression model using Python library scikit-learn, including fundamental steps: Data Preprocessing, Feature Engineering, EDA, Model Building and Model Evaluation.


Recommendation System

Recommendation System

Python

This code snippet includes the procedure of building a recommender system using KNN and SVD: 1. EDA for Recommender System: univariate analysis, aggregated analysis; 2. Collaborative Based Filtering Algorithms: K Nearest Neigbour vs. Singular Value Decomposition; 3. Model Evaluation: cross validation vs. train-test split; 4. Provide Top Recommendations

More Coming Up ...