Predicting sales volume at various stores

House prices dataset exploration and prediction. Workflow includes useful examples of Tensorflow pipelines including k-Nearest Neighbors imputer, Decision Tree Regression and XGBoost Regression

Build ColumnTransformers (Scikit or DaskML) for feature transformation by specifying configs.

Car Price Prediction

Прогнозирование рыночной стоимости автомобилей

Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy

This application predicts the likelihood of obesity and diabetes in a person based on various inputs. It utilizes machine learning models, pipelines, and column transformers to efficiently handle data and provide predictions.

Column-Transformer is the method where you can use this feature and you can implement one-hot encoding and OrdinalEncoding both together

A machine learning project that predicts car prices based on a dataset.

Data Manipulation of Biopic Dataset

Alzheimer's Disease Classification using Decision tree

Electronic Music Classification ML

Applying Advanced Machine Learning techinques such as pipelines and text mining, as well as advanced data engeneering methods like column transformers and estimators.

This project uses the famous housing price prediction dataset and employs the two supervised ml algorithms (classification and regression).

Feature Engineering with Python