tqi2 / Wine-Quality-PredictionLinks
Use random forest, svm, decision tree, naive bayes to classify the wine quality in Python
☆12Updated 6 years ago
Alternatives and similar repositories for Wine-Quality-Prediction
Users that are interested in Wine-Quality-Prediction are comparing it to the libraries listed below
Sorting:
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆139Updated 2 years ago
- This is Kaggle project for the house price prediction☆109Updated 2 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆33Updated 3 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆111Updated 7 years ago
- Customer segmentation using k-means clustering in python☆58Updated 6 years ago
- To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …☆42Updated 7 years ago
- You are opening a new Store at a particular location. Now, Given the Store Location, Area, Size and other params. Predict the overall rev…☆28Updated 2 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆91Updated last year
- Predicting the Quality of Red Wine using Machine Learning Algorithms for Regression Analysis, Data Visualizations and Data Analysis.☆34Updated 6 years ago
- Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook☆104Updated 2 years ago
- ☆174Updated 5 years ago
- It's a Git Repo containing source code, supported docker files, multiple linear regression pickle file and other related contents of Flas…☆27Updated 2 years ago
- Heart Disease prediction using 5 algorithms☆118Updated 7 months ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆59Updated 3 years ago
- ☆10Updated 6 years ago
- Students performance system to help students improve their academic performance☆13Updated 6 years ago
- Developed a supervised machine learning system that can estimate a country's GDP per capita using regression algorithms.☆31Updated last year
- Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation a…☆96Updated last year
- Association rule mining is a technique to identify underlying relations between different items.☆66Updated 6 years ago
- ☆65Updated last year
- Stock Price Prediction case study using Keras☆168Updated 5 years ago
- Prediction Model on Cell Images for Detecting Malaria☆11Updated 4 years ago
- Lending Club Data Loan Default Prediction☆55Updated 2 years ago
- A Classification Problem which predicts if a loan will get approved or not.☆40Updated 2 years ago
- Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease☆99Updated 5 years ago
- ☆109Updated 2 years ago
- ☆85Updated 5 years ago
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆58Updated 4 years ago
- ☆92Updated 2 years ago
- This project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels…☆42Updated 5 years ago