This is GEM repo, as it has all the Hands-On ML notebooks
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Updated
Sep 19, 2024 - Jupyter Notebook
This is GEM repo, as it has all the Hands-On ML notebooks
A notebook aimed to predict loan eligibility with high accuracy using advanced machine learning models including Logistic Regression and KNN.
Movie recommendation system with Collaborative filtering and kNN recommendation, featuring streamlit frontend
predict the winning horse with supervised machine learning models (lucky to have 100% accuracy on small test data)
Classification of Customers for bank marketing
Introducing the Spam Detector Web App! This application is designed to detect spam comments using a K-Nearest Neighbors (KNN) classifier with TF-IDF vectorization. The web app is built using Django and HTMX, and it allows users to register, create comments, and detect spam within those comments.
This project predicts the survival of passengers on the Titanic by using Kaggle Titanic Disaster Dataset. The dataset contains information related to passengers, such as age, gender, and class. Different machine learning algorithms have been applied for this predictive model to accomplish an accurate prediction that will define the survival chances
This repository holds the final project for the Natural Language Processing project for the Intel AI Learning and Certification Program.
Some exercises codes on basics of machine learning built from scratch with basic libraries like numpy ,math.
Machine learning project focused on predicting the success of Kickstarter campaigns. Implemented KNN, Logistic Regression, and Random Forest algorithms to analyze campaign features and forecast outcomes. Developed during a data science bootcamp, showcasing practical experience in model selection, feature engineering, and predictive modeling.
A small demonstration of my knowledge of machine learning algorithms.
This Repo. contains all my Python based Machine Learning projects using numerous algorithms for the purpose of Classification, Clustering, Recommendation, Prediction and Anomaly Detection.
knn implementation in numpy
Binary classification task of determining whether a red wine is 'good' or 'bad'
Machine Learning course, Spring 2024, University of Tehran, Dr. M Tavassolipour and Dr. MRA Dehaqani
Water potability classifier using simple logistic regression to advanced gradient boosting algorithms
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