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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!
my codes of data mining fundamentals course
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.
Solution to Kaggle's GDZ’22 DATATHON Competition
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.
Multilabel classification of the O*Net occupation data based on the job description
The Heart Disease Prediction Project is a machine learning project aimed at developing a model to predict the presence of heart disease in patients based on various health-related features.
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.
python 0基础入门机器学习
Machine Learning models to predict the covid mortality risk
This repository contains a Breast Cancer Classification project that utilizes a Logistic Regression model to classify tumors as benign or malignant based on patient data. The project uses the Breast Cancer Wisconsin (Diagnostic) Dataset from Kaggle and achieves a 94.73% accuracy on training data and 92.98% accuracy on test data.
AI-powered resume classification system can accurately and efficiently analyze resumes, extract relevant information, and categorize them into predefined categories or job roles.
LABS Proyecto Individual: MVP Steam - Rol: MLOps Engineer | Bootcamp Henry: Carrera Data Science | Cohorte DataFT 20
Machine Learning Course from Udemy
In this i tried to design a model that can predict the price of stock using different methods and algorithms.
Default_Prediction_for_Loan_Data
🧑🏻🎓📕 December'20 – June'21. Final qualification work. The topic is Applied Machine Learning Techniques for Classification Reviews of Insurance Company. I focused on sentiment analysis of the texts using classifying machine learning methods and cluster analysis to find (or not) some correlation with sentiment analysis classification.
This Repository have all the Task that I have completed at The Sparks Foundation as Data Science And Business Analytics intern .
This repository have all pratice tutorial about python and its libraries.
Text to Category AI for Social Media Project
Welcome to the Insurance Claim Prediction App! This web application utilizes advanced machine learning techniques to estimate insurance claim amounts based on user-provided information. Whether you're exploring insurance options or curious about potential claim amounts, this app provides a quick and convenient way to get personalized predictions.
This repository contains data science & machine learning operations using python.
Machine Learning model, that gathers water attributes and predicts it's quality level with 100% accuracy
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.
Machine Learning helps in predicting the Heart diseases, and the predictions made are quite accurate.
Make a prediction to determine the price of each launch of a rocket, if the rocket can recover the first stage like SpaceX's Falcon 9.
Examined factors influencing demand for micro-mobility shared electric cycles Performed exploratory analysis and hypothesis testing, revealing the distinct influence of weather-season association on hourly counts
Developed a linear regression model to predict vehicle fuel efficiency (miles per gallon, mpg) based on features such as engine displacement, horsepower, and weight.
development of intelligent