Samir Zade's repositories
Algeria-forest-fire-prediction-with-web-app-and-aws-deployment
This project aims to predict forest fires in Algeria using machine learning techniques and provide a user-friendly web application for real-time monitoring.
Classfication-and-Regression
This repository contains implementations of various machine learning models for both classification and regression tasks. It serves as a comprehensive resource for understanding and experimenting with different algorithms in supervised learning.
Data-Visualization
This repository serves as a comprehensive resource hub for exploring the world of data visualization techniques, tools, and best practices using numpy, pandas, matplotlib, seaborn and plotly
Diabetes-Prediction-Using-DecisionTreeRegression-SVR-GaussianNB-and-Deployment-Using-Web
This repository contains a machine learning project aimed at predicting diabetes using various algorithms such as Decision Tree Regression, Support Vector Regression (SVR), and Gaussian Naive Bayes (GaussianNB). Additionally, it provides a web deployment mechanism for the trained models, enabling easy access and utilization.
Diabetes-Prediction-Using-Logistic-Regression-and-Web-Application
This project focuses on predicting the likelihood of diabetes in individuals using logistic regression, a powerful machine learning algorithm. Additionally, we have developed a user-friendly web application that allows users to input relevant health metrics and receive instant predictions regarding their risk of diabetes.
Diamond-Price-Prediction-End-to-End-Project
By leveraging pipelines, artifacts, logging, EDA, exception handling, and other components, the Diamond Price Prediction project provides a robust and scalable solution for predicting diamond prices, empowering stakeholders in the diamond industry to make data-driven decisions with confidence.
Feature-Engineering-and-Exploratory-Data-Analysis
This repository contains resources and code examples related to Feature Engineering and Exploratory Data Analysis (EDA) techniques in the field of data science and machine learning.
Python-and-OOP-s-concept
I utilized Python in this repository to learn everything from the fundamentals to the ideas of object-oriented programming, which gave me a thorough understanding of the language's capabilities and many functions.
SVM-Decision-Tree-and-Naive-Bayes-Algorithm
This repository contains implementations of popular machine learning algorithms including Support Vector Machine (SVM), Decision Tree, and Naive Bayes. Each algorithm is implemented separately, providing clear and concise examples of their usage for classification tasks.