data-scaling | Topic | Ecosyste.ms: Repos

Topic: "data-scaling"

MsnAmiri/Customer-Segmentation-with-IBM-SPSS-Modeler

Creating a banking customer segmentation dataset using 3 initial datasets in the IBM SPSS environment

Size: 1.02 MB - Last synced at: 3 months ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 0

sushant1827/Credit-Card-Fraud-Detection

Demonstrates the use of ML for Anomaly Detection for Credit Card Transactions: Identifying Fraudulent Activity using Imbalanced Data

Language: Jupyter Notebook - Size: 11.9 MB - Last synced at: 26 days ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

saibattula93/Student-Score-Prediction

student performance using regression & MLOps. Identifies at-risk students, aiding interventions. Evaluated with MSE, RMSE, R-squared. Req: dataset, ML libs, deploy platform. Scalability, latency, security considered. Focuses on predictions, not actions. Architecture: Ingestion, Training, Evaluation, Deployment, CI/CD, Retraining. Enhances academics

Language: Jupyter Notebook - Size: 2.27 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 1

tawfikhammad/data-rescaling-and-normalization

data rescaling, normalization and standardization techniques

Language: Jupyter Notebook - Size: 841 KB - Last synced at: 2 months ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

Cintia0528/Data_Science-Unsupervised_Machine_Learning

I aim to automate playlist creation for Moosic, a startup known for manual curation, using Machine Learning, while addressing skepticism about the ability of audio features to capture playlist "mood."

Language: Jupyter Notebook - Size: 2.18 MB - Last synced at: about 1 month ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

kochlisGit/Data-Science-Algorithms

Implementation of statistics algorithms for Machine Learning & Data Mining. The algorithms were implemented with the Scikit-Learn Library

Language: Python - Size: 877 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 3

Chiagoziemchidera/Customer-Segmentation-Using-KMeans-Clustering

The project involved using KMeans clustering to segment customers based on behavioral patterns and preferences providing customer segments for targeted marketing strategies.

Language: Jupyter Notebook - Size: 25.8 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ImanNoferesti/Emotion_AI_Python

Emotion and Facial Key-Point Detection Classify emotions and detect facial key-points using deep learning! This project combines CNNs and Residual Blocks to predict 15 facial key-points and categorize facial expressions into five emotions: Angry, Disgust, Sad, Happy, and Surprise.

Language: Jupyter Notebook - Size: 56.9 MB - Last synced at: about 1 month ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0