FarzadNekouee / Garbage_Classification_ResNet50_Scratch_to_Transfer-LearningLinks
In this project, we harness ResNet50 for garbage classification. Using a dataset pivotal for automating waste segregation, we address challenges like class imbalance with data augmentation and tailored metrics. The journey involves analyzing the dataset, confronting imbalances, and developing models from scratch and via transfer learning.
☆13Updated last year
Alternatives and similar repositories for Garbage_Classification_ResNet50_Scratch_to_Transfer-Learning
Users that are interested in Garbage_Classification_ResNet50_Scratch_to_Transfer-Learning are comparing it to the libraries listed below
Sorting:
- The project aims to predict employee resignations using XGBoost and CatBoost regressors. It involves extensive EDA, data preprocessing, m…☆13Updated 2 years ago
- Launching a mobile company to rival giants like Apple & Samsung, we leverage sales data to discern price ranges for mobiles based on feat…☆11Updated 2 years ago
- An exploration of CIFAR-10 image classification using a CNN model built with Keras. This repository includes training, evaluation, and ex…☆18Updated 2 years ago
- ☆10Updated last year
- This project leverages DCGANs and the CelebA dataset to create photorealistic, synthetic human faces. The DCGAN model crafts new faces th…☆11Updated 2 years ago
- Dive into polynomial regression and its assumptions in car price prediction. This repo explores Linear, Polynomial, Ridge, Lasso, and Ela…☆13Updated 2 years ago
- Classification project to pinpoint potential loan customers from an imbalanced dataset. Emphasizes on penalized and tree-based algorithms…☆12Updated 2 years ago
- An urban traffic violation detection system using classical image processing techniques. Features include real-time traffic light recogni…☆29Updated 2 years ago
- An extensive exploration and preprocessing of Flight data. The project encompasses detailed EDA (Univariate, Bivariate, and Multivariate …☆13Updated 2 years ago
- Reliable MRI brain tumor detection for various types including pituitary, meningioma, glioma. Focused on high accuracy in diverse image q…☆12Updated last year
- ☆10Updated last year
- Data Science Tutorials with Python☆14Updated 2 years ago
- Use of categorical algorithms☆15Updated 2 years ago
- Telegram IMDb Bot: Python-based bot for Telegram. Features include movie search via IMDb API, watchlist management, and movie details ret…☆23Updated 2 years ago
- This project is related to customer segmentation for loans☆11Updated 2 years ago
- In this repository by using tensorflow, I build, train and evaluate LSTM models for predicting Google stock prices☆10Updated 2 years ago
- Unsupervised Machine Learning Analysis Using Clustering Model☆15Updated 2 years ago
- Using Python☆17Updated 2 years ago
- Solver for easy Sudoku☆17Updated 3 years ago
- ☆20Updated 2 years ago
- Predictive modeling of hotel booking cancellations. Handling complex data preprocessing, feature engineering, and noise. Evaluating model…☆13Updated 2 years ago
- Data Science☆10Updated 2 years ago
- ☆15Updated 2 years ago
- AI-powered tool for Facial Attribute Analysis. It accurately predicts age, gender, race, and emotions for unmasked faces. Enhanced to det…☆14Updated last year
- ☆14Updated 2 years ago
- Customer Segmentation Using Unsupervised Machine Learning Algorithms☆13Updated 2 years ago
- Analyzing and transforming a UK-based retail dataset (2010-2011) into a customer-centric format for customer segmentation using K-means c…☆45Updated 2 years ago
- Supervised Machine Learning Analysis Using Classification Models☆15Updated 2 years ago
- ☆19Updated 2 years ago
- A wise imputer that fill missing values for each features by deriving information from other correlated-informative features.☆21Updated 2 years ago