There are 1 repository under ml-models topic.
This is a simple machine learning project using classifiers for predicting factors which affect student grades, using data from CSV file
π€ Push your spaCy pipelines to the Hugging Face Hub
A collection of handy ML and data visualization and validation tools. Go ahead and train, evaluate and validate your ML models and data with minimal effort.
Prinz provides ML integrations for Nussknacker.
This project demonstrates the application of machine learning techniques to predict house prices based on various features. By analyzing the dataset, preprocessing the data, and selecting an appropriate model, we were able to achieve a high level of accuracy in predicting house prices. The trained model can be further refined and deployed.
Part of the Hydrosphere.io project.
This dataset is used to detect the credit card fraud detection. This is a classification problem. This is an imbalanced dataset based on target variable. So In this Project, I will use encoding and decoding techniques to balanced dataset.
This project aims to develop a predictive model estimating insurance coverage costs for customers based on their attributes and product choices. The dataset includes transaction and quote details for policy purchasers. The objective is to predict quoted coverage costs, considering customer traits and 7 customizable product options.
Beautiful Web interface made using Streamlit for quick Exploratory Data Analysis and building classification models which are implemented from scratch.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
A Regression based ML model for prediction of car prices in market
Customer Segmentation using Clustering (Machine Learning)
Handwriting Detection using Deep Learing with Neural Network, tensorflow, keras and jupyter notebook
Titanic Survival Prediction using Logistic Regression
Machine Learning Project
Machine Learning Project
Machine Learning Project
Machine Learning Concepts And Models using Octave and Jupyter Notebook
Predict diseases with the help of AI to save cost, time, and to prevent misdiagnosis.
isCovid() Project: A web application, that takes a chest X-Ray image and uses Deep Learning to try to predict if the person has some initial effects/infection of COVID 19, so that it can be treated before his/her condition gets worsened .
Master fundamental AI concepts and develop practical machine learning skills in the beginner-friendly, 3-course program by AI visionary Andrew Ng
Generate synthetic drilling data that can be used for testing machine learning (ML) models.
Titanic Survival Prediction Project (93% Accuracy)π³οΈ In this notebook, The goal is to correctly predict if someone survived the Titanic shipwreck using different Machine Learning Model & Hyperparameter tunning.
Using Scikit-learn and Imbalanced-learn to build and evaluate ML models that predict credit risk
π Mushroom Classifier Project πΏ Dive into the fascinating world of mushrooms with my latest project! π Using Support Vector Machines (SVM) in machine learning, I've crafted a powerful model that predicts whether a mushroom is edible or poisonous based on its unique features.
A collection of Python Implementations in Data Science
In this Kaggle project, I worked on the Covid-19 dataset to predict Covid-19 cases in India and all over the world. Used Matplotlib, Seaborn, and Plotly for Data Visualization. Used Prophet, Arima, Lasso, Linear Regression, Ridge Reg, Stacking & Blending for Prediction.
In this ML Regression project, I participated in the House Prices competition on Kaggle and scored a top 3% on the leaderboard.
Using Various ML/DL models to detect the fake news.
Custom implementation of classic ML algorithms with annotations