This page includes some of my highlighted NoteBooks.

[Full Archive] If you prefer to access the platform directly and see the Full Archive, please visit: kaggle.com/samanemami/code

Notebooks:

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The Fantastic Voyage of Elon Musk Tweets Clusters

• Dataset: Elon Musk Tweets
• Link: kaggle.com/code/samanemami/The Fantastic Voyage of Elon Musk Tweets Clusters

GAN-On Tabular Data

• Dataset: Diabetes
• Link: kaggle.com/code/samanemami/GAN-On Tabular Data

A complete tutorial on raster data analysis

• Dataset: Raster Dataset
• Link: kaggle.com/code/samanemami/a-complete-tutorial-on-raster-data-analysis

Probabilistic Graphical Models

• Dataset: Heart Failure Clinical Records
• Link: kaggle.com/code/samanemami/probabilistic-graphical-models

Pre-trained models comprehensive example

• Dataset: CIFAR-10/MNIST
• Link: kaggle.com/samanemami/pre-trained-models-comprehensive-example

Feature selection - Various approaches

• Dataset: Electric Motor Temperature
• Link: kaggle.com/code/samanemami/feature-selection-various-approaches

James Webb (Image analysis)

• Dataset: James Webb Telescope Images (Original size)
• Link: kaggle.com/code/samanemami/james-webb-image-analysis

Antibiotic resistance

• Dataset: Predicting antibiotic resistance
• Link: kaggle.com/code/samanemami/antibiotic-resistance

CatBoost application

• Dataset: Supermarket store branches sales analysis
• Link: kaggle.com/code/samanemami/catboost-application

Product Quantizing the output Space

• Dataset: River Flow-RF2
• Link: kaggle.com/code/samanemami/product-quantizing-the-output-space

Interpreting the Boosting Machine

• Dataset: Iris Species
• Link: kaggle.com/code/samanemami/interpreting-the-boosting-machine

A comprehensive introduction to KMeans

• Dataset: Facebook Live sellers
• Link: kaggle.com/code/samanemami/a-comprehensive-introduction-to-kmeans

Multi-output regression analysis

• Dataset: Energy Efficiency Dataset
• Link: kaggle.com/code/samanemami/multi-output-regression-analysis

Time Series Analysis

• Dataset: Household Electric Power Consumption
• Link: kaggle.com/code/samanemami/time-series-analysis-energy-r

lightGBM

• Dataset: MNIST
• Link: kaggle.com/code/samanemami/script-lightgbm-mnist

TFBT Classifier

• Dataset: Titanic
• Link: kaggle.com/code/samanemami/tfbt-classifier-titanic-problem-survived-label

Visualize and Analyze Energy Data

• Dataset: Household Electric Power Consumption
• Link: kaggle.com/code/samanemami/visualize-and-analyze-energy-data-r

Loan Defaulter - probability problam

• Dataset: Credit Approval (Loan)
• Link: kaggle.com/code/samanemami/loan-defaulter-probability

Market basket analysis

• Dataset: Transactional dataset (electronic devices)
• Link: kaggle.com/code/samanemami/market-basket-analysis

Fashion MNIST 94%

• Dataset: fashion MNIST
• Link: kaggle.com/code/samanemami/fashion-mnist-94

memory consumption

• Dataset: [Private Datasource]
• Link: kaggle.com/code/samanemami/memory-consumption-tensorflow