This is python for DS and ML bootcamp
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Updated
Oct 27, 2023 - Jupyter Notebook
This is python for DS and ML bootcamp
model to predict the survival in the Titanic disaster, with 98.8 accuracy.
Decision tree algorithm demonstration
This is the second project in University of Tehran College of Engineering AI course.
Panads,Numpy, Scikit learn, Keras, ML Libraries
Diabetes Dataset This dataset is originally from the N. Inst. of Diabetes & Diges. & Kidney Dis.
This project implements a Disease Prediction System using various machine learning algorithms to predict potential diseases based on user-provided symptoms. The system utilizes a Django web framework to provide a user-friendly interface for inputting symptoms and viewing the predicted disease.
Machine Learning algorithms implemented from scratch. Different ML algorithms implemented from scratch. Namely, Multipile Linear Regression and Logistic Regression KNN and Naive Bayes Recrusive Decision Trees Bagging and Boosting (Ada Boost) Yarwosky's Algorithm and Agglomerative Hierarchical Clustering
finding_donors machine learning model
"Titanic: Machine Learning from Disaster" is a classic Kaggle competition for beginners https://www.kaggle.com/competitions/titanic. The goal is to use machine learning to predict which passengers survived the sinking of the Titanic based on historical data. This teaches data analysis and model building skills in a real-world context.
In this repository, I've added all the classes regarding Machine Learning using SKlearn library with Python which I've covered at SMIT
Application for predicting the flight fares at different dates with different transporters
Machine Learning - Binary Classification
Machine learning model for Credit Card fraud detection
AICTE VOIS internship in AI & ML. This repository consists implementation of AI and ML models. and Project on "Diabetes Prediction"
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