Topic: "simple-imputer"
SINGHxTUSHAR/Sensor-Fault-Detection
Data fetched by wafers is to be passed through the machine learning pipeline and it is to be determined whether the wafer at hand is faulty or not apparently obliterating the need and thus cost of hiring manual labour.
Language: Jupyter Notebook - Size: 4.5 MB - Last synced at: 3 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 0

ayushsaksena30/Cosmic-Classifier
This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.
Language: Jupyter Notebook - Size: 3.1 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 1 - Forks: 0

MAHMOUD2ABDALLAH/family-members-segmentation
Machine learning Classification for Family Determination for various generations by their age, height, weight, etc...
Language: Python - Size: 629 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Diksha-Bisht/Pollution_Analysis
This is a beginner-level Data Science project carried out in the MCA I Semester, as a Data Visualization Project on topic Pollution Analysis in Indian States and Global Cities.
Language: Jupyter Notebook - Size: 5.64 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

nguyenthiennhan444/Cosmic-Classifier
This notebook implements a structured machine learning pipeline to classify cosmic data using the CatBoost Classifier, known for its efficiency with categorical features and minimal preprocessing requirements.
Language: Jupyter Notebook - Size: 2.92 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

maheera421/Car-Price-Prediction-Model
A machine learning project that predicts car prices based on a dataset.
Language: Jupyter Notebook - Size: 43.9 KB - Last synced at: 2 months ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

nf-i/data-imputation-python
Data imputation is used when there are missing values in a dataset. It helps fill in these gaps with estimated values, enabling analysis and modeling. Imputation is crucial for maintaining dataset integrity and ensuring accurate insights from incomplete data.
Language: Python - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

jodiambra/State-Farm
Showcasing data science skills for a dataset provided by State Farm for a coding interview.
Language: Jupyter Notebook - Size: 33.4 MB - Last synced at: about 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

LorenzoRottigni/ML-missing-values
Machine Learning course of Piero Savastano 5: ColumnTransformer, SimpleImputer, numpy
Language: Python - Size: 1000 Bytes - Last synced at: 3 months ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

megamillions/Housing-Prices-Competition
Build a model with machine learning to predict housing prices in Ames, Iowa. Top 11% in the Kaggle Housing Prices Competition.
Language: Python - Size: 219 KB - Last synced at: 5 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
