Code for classifying breast cancer tumors using machine learning. Includes preprocessing, visualizations, and models like Logistic Regression, Decision Tree, and Random Forest. Evaluated with accuracy, precision, recall, and F1-score. Clone, install dependencies, and run the Jupyter notebook for full analysis.

This repository contains a Jupyter notebook that implements and optimizes several machine learning models on a dataset

Basics of machine learning is END-TO-END Repository which includes very Basic Machine Learning Models and Notebook

Jupyter notebook for the "10-year Coronary Heart Disease (CHD) risk from the Framingham Heart study dataset" project (part of the course in Machine Learning)

Jupyterlab Notebook for AI model creation for classifying inappropriate messages

This repository houses all notebooks and python modules that were used to help build our fMRI SVM and 3D CNN pipelines.

A Notebook on how to do toss prediction on IPL data.

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow

In this notebook we analyze and classify news articles using machine learning techniques, including Logistic Regression, Naive Bayes, Support Vector Machines, and Random Forests. Explore text vectorization and NLP for accurate news categorization.

This Python notebook demonstrates the application of Support Vector Machines (SVM) for classification tasks on the MNIST dataset. The notebook covers data preprocessing, hyperparameter tuning, and dimensionality reduction using PCA.

Obese-tree is a GitHub repository showcasing the application of a Support Vector Machine (SVM) model to estimate obesity levels based on eating habits and physical condition. Explore the code, data, and Jupyter notebooks to learn how SVM can be used for predictive modeling in the context of health and wellness.

This repository contains all learning materials for become a data scientist. It have notebooks realted to tensorflow, scikit-learn, and deep learnings like gradient descent etc. 😄

Collection of Machine Learning Notebook files

Some sample jupyter notebooks of machine learning, including my project

Contains various Machine Learning projects in python (jupyter-notebook).

This Notebook demonstrates the process of building a Support Vector Machine (SVM) model for predicting diabetes using the Pima Indian Diabetes Dataset.

Project created with use of jupyter notebook on HAR dataset. Focused on making decision.

Includes multiple notebooks, that covers different aspects of Natural Language Processing

A sentiment analysis program I made to get the hang of Jupyter Notebook. It uses three models - Logistic Regression, SVM and XGBoost

Helps you to classify the news of your choice into the category like sports, health, and so on. Used SVM Model to classify the news