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1. Datasets Datasets Public

2. Data-Science-Project-Classification-of-Dry-Bean-Dataset Data-Science-Project-Classification-of-Dry-Bean-Dataset Public

   This project focuses on the classification of the Dry Bean Dataset using various machine learning algorithms such as Random Forest, Support Vector Machine (SVM), and Decision Tree. The objective is…

   Jupyter Notebook

3. Mobile-Price-Prediction Mobile-Price-Prediction Public

   This project aims to predict the price range of mobile phones based on their specifications. It utilizes machine learning models, including a neural network and a decision tree, to make accurate pr…

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4. Decision-Tree-Classifier-Project Decision-Tree-Classifier-Project Public

   This is a Python implementation of a Decision Tree classifier. It includes methods for loading data from a CSV file, building a decision tree, making predictions, and evaluating the model's perform…

   Python

5. Binary-Classification-with-Logistic-Regression-and-Sampling-Techniques Binary-Classification-with-Logistic-Regression-and-Sampling-Techniques Public

   This project demonstrates how to perform binary classification using logistic regression and different sampling techniques to address class imbalance. It includes preprocessing steps, model trainin…

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6. Date-Fruit-Image-Classification-Using-Deep-Learning Date-Fruit-Image-Classification-Using-Deep-Learning Public

   This project focuses on building a convolutional neural network (CNN) model to classify date fruit images into different classes. The model is trained using TensorFlow and Keras, and evaluated usin…

   Jupyter Notebook