AI Machine learning Deep learning Projects with code
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Updated
Oct 29, 2024 - Jupyter Notebook
AI Machine learning Deep learning Projects with code
🎓 Collection of academic resources, projects, and exercises related to artificial intelligence concepts learned in university coursework.
It is a Repo that contain different type of Machine Learning Algorithm like Regression ,classification and clustering that will be added soon
This project aims to detect fraudulent transactions in a dataset using machine learning models like Logistic Regression and Decision Tree. The dataset is highly imbalanced, and techniques like SMOTE are used to balance it.
Chronic Kidney Disease Prediction Using ML | Website |
This project is dedicated to implementing various machine learning algorithms from scratch to gain a deeper understanding of how they work.
This Project is based on Machine Learning which uses Logistic Regression model for predicting whether the object detected by Submarine is Rock or Mine
Natural Language Processing (NLP) is a branch of data science that consists of systematic processes for analyzing, understanding, and deriving information from the text data in a smart and efficient manner
Machine Learning, EDA, Binary Classification task weather dataset, ANN, SVM, LR
Machine Learning, EDA, Classification tasks, Regression tasks for customer churn
The data was first pre-processed and analysis libraries like Numpy and Pandas were used to make it ready to be utilized by a machine learning algorithm.Problems like standard scaling, categorical data and missing values were handled with appropriate techniques. Then, we used LogisticRegression model.
Batch Name: MIP-ML-11 (Machine Learning Intern)
This project presents a powerful Web Application Firewall (WAF) designed to protects web applications from malicious activities. By leveraging machine learning algorithms, the WAF efficiently filters and detects potentially harmful requests before they reach the website, ensuring robust security.
building machine learning models that use classic algorithms and deep learning, as well as comparing their accuracy
Logistic regression estimates the probability of an event occurring, such as voted or didn’t vote, based on a given data set of independent variables.
A ML project to predict sales for Black Friday.
Machine Learning Tutorial
IBM Data Science Capstone Project from Coursera
In this project I want to show the effect of feature extraction, feature selection, etc. on results of different models
This repository provides essential tools and metrics for evaluating binary classification models, aiding researchers and data scientists in their model assessment
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