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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
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
Solution to Kaggle's GDZ’22 DATATHON Competition
Data Science, Machine learning, Data visualization
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
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.
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.
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 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.
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.
This project controls the PC using Hand Gestures. Controlling Windows management, Controlling Instagram, Windows Media Player and Keyboard arrows based games for eg. Hill Climbing game can be controlled. Download Instagram, Hill climbing or other games and Media Player for Audio Playback from Microsoft Store Only.
Netflix Filtering and Recommendation Project
Image Color Analyzer is a Python Flask application that allows users to upload images and analyze the dominant colors present in the image using the KMeans clustering algorithm. The application provides a simple web interface for users to interact with, displaying the dominant colors and their occurrences as a JSON response.
This GitHub repository for the British Airways project contains code and resources related to analyzing customer booking behavior with British Airways. It includes data preprocessing, exploratory data analysis, model training using the XGBoost classifier, and evaluation of the model's performance.
Titanic Survival Prediction using ML and Flask Deployment.
This repository hosts a collection of machine learning models and algorithms aimed at detecting spam messages in SMS communications. Leveraging natural language processing (NLP) techniques and supervised learning methods, the repository offers efficient solutions to classify messages as either spam or legitimate. With comprehensive documentation.
Breast Cancer Data Analysis: Analyzes and classifies breast cancer data using a Naive Bayes classifier with preprocessing, label encoding, and k-fold cross-validation. Cars Dataset Analysis: Explores a cars dataset with data loading, statistics, and visualizations, including price distribution and correlation heatmap. Hayes-Roth Classification: C
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