aniass/Waste-Classification

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MIT License
Created almost 4 years ago
Updated over 1 year ago

aniass/Waste-Classification

aniass

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Waste image classification into organic or recyclable ones with CNN algorithm.

Product-Categorization-NLP

Multi-Class Text Classification for products based on their description with Machine Learning algorithms and Neural Networks (MLP, CNN, Distilbert).

Jupyter Notebook

Spam-detection

Spam detection in SMS messages with BERT model and Machine Learning algorithms

Jupyter Notebook

Sentiment-analysis-reviews

Sentiment analysis of women's clothes reviews by using machine learning algorithms and Neural Networks (LSTM).

Jupyter Notebook

Customer-segmentation

Customer segmentation by using the RFM method and K-Means clustering

Jupyter Notebook

text-summarizer

Text summarization based on extractive and abstractive methods by using python.

Jupyter Notebook

books-recommender-system

The books recommendation system using collaborative filtering and content-based filtering methods.

Jupyter Notebook

Fraud-Detection

Anomaly detection in credit card transactions using machine learning models and Autoencoders.

Jupyter Notebook

Data-Science-Portfolio

Data science portfolio

IT-job-market-analysis

CodersCrew Data Science Project

Jupyter Notebook

Plant-pathology

Kaggle Competition: The recognition diseases on apple leaves based on their photos by using CNN and MobileNet V2 model.

Jupyter Notebook

waste-app

Waste app - simple Streamlit application with use ML model

ETL-python-SQLite

Simple ETL using python and SQLite database.

Jupyter Notebook

Market-basket-analysis

Market Basket Analysis by using Apriori algorithm and Association rules

Jupyter Notebook