Igniting Innovation Through the Power of Data

MLOps Paris Housing Price Prediction.

This GitHub repository is a valuable resource for machine learning and Python enthusiasts. It includes a wide range of projects and tools, covering topics like Data Visualization, Data Analysis, ML, DL, Automation, NLP, Web Scraping, and more. Contributors are welcome to join and learn together in this supportive community. Happy coding!

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my codes of data mining fundamentals course

python 0基础入门机器学习

In this comprehensive machine learning project, I executed the entire machine learning life cycle. Designed a streamlined and visually appealing interface using Streamlit. Ensuring a user-friendly experience for individuals to input their relevant information effortlessly. Handed off well-documented and easily modifiable code.

This project aims to detect and classify fake news using Natural Language Processing (NLP) and Machine Learning techniques. The model is trained to identify whether a news article is real or fake based on its content.

The Flight Price Prediction project utilizes Random Forest Regression to forecast flight prices based on historical data, empowering consumers and businesses to make informed decisions. With an impressive R² score of 0.812, the model effectively captures the complex relationships influencing airfare pricing.

O repositório reúne os materiais utilizados em disciplinas que ministrei em diferentes instituições de ensino superior.

SKit is a versatile Python library designed to streamline the deployment of Machine Learning (ML) models and facilitate various Data Science tasks.

Data Science, Machine learning, Data visualization

For this project, I am going to recommend positions where France's goal keeper should kick the ball so that the French team's players can then hit it with their head using deep learning regularisation and dropout methods.

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Solution to Kaggle's GDZ’22 DATATHON Competition

Machine Learning Course from Udemy

Hand Segmentation and Finger Counting with Convex Hull

Machine Learning Course from Udemy

An interactive dashboard for predictive maintenance of turbofan engines. This project leverages NASA's CMAPSS (Commercial Modular Aero-Propulsion System Simulation) dataset to monitor engine health, analyze sensor trends, and predict the Remaining Useful Life (RUL) of aero-engines.

Multilabel classification of the O*Net occupation data based on the job description

Machine Learning models to predict the covid mortality risk

This problem is a typical Classification Machine Learning task. Building various classifiers by using the following Machine Learning models: Logistic Regression (LR), Decision Tree (DT), Random Forest (RF), XGBoost (XGB), Light GBM and Support Vector Machines with RBF kernel.

The Diabetes Prediction System is a web application that enables users to predict diabetes likelihood based on medical data. Key features include user registration, dataset uploading and cleaning, model training using logistic regression, and individual risk prediction.

This is a School assignment, on churn prediction using scikit learn and traditional ML models

Machine learning project to predict profits of new startups based on R&D, Admin, Marketing, and State data

The code sets up a Flask web application for a chatbot using a pre-trained model. It loads intents from a JSON file, tokenizes patterns with CountVectorizer, and defines routes for user input, predicting tags, and retrieving bot responses. The application runs on localhost when the script is executed.

This dataset contains detailed information on the risk factors for cardiovascular disease.

linear regression model with gradient descent

This project detects cardiovascular diseases using deep learning on digitized ECG images. Key features like P, QRS, and T waves are extracted from 1-D signals. Machine learning models predict conditions like Myocardial Infarction, enabling efficient diagnosis.