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:
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆112Updated 7 years ago
- Customer segmentation using k-means clustering in python☆59Updated 7 years ago
- Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot☆32Updated 7 years ago
- Various projects in Linear Regression, Logistic Regression, k Nearest Neighbors, Decision Trees, Random Forests, SVM☆141Updated 2 years ago
- Various classification algorithms are implemented to predict whether a person is prone to or is suffering from heart disease☆101Updated 6 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆93Updated last year
- This is Kaggle project for the house price prediction☆109Updated 2 years ago
- Students performance system to help students improve their academic performance☆14Updated 7 years ago
- A web app for Flight Delay Prediction using Random Forest Classifier☆23Updated 6 months ago
- Stock Price Prediction case study using Keras☆169Updated 5 years ago
- ☆268Updated 3 years ago
- ☆220Updated 3 years ago
- Content based movie recommendation system with sentiment analysis☆96Updated 2 years ago
- Analyzing the HR Criteria of a Company and how they promote their Employees and keep Balance between them using Data Analytics, Data Visu…☆50Updated 6 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆34Updated 4 years ago
- A Flask WebApp which can predict the Traffic Signs🚦 using Deep Learning☆72Updated 2 years ago
- Association rule mining is a technique to identify underlying relations between different items.☆68Updated 6 years ago
- Machine learning approach to detect whether patien has the diabetes or not. Data cleaning, visualization, modeling and cross validation a…☆100Updated last year
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆57Updated 5 years ago
- ☆177Updated 6 years ago
- ☆65Updated last year
- ☆93Updated 5 years ago
- A simple K-Means Clustering model implemented in python☆46Updated last year
- Predict Diabetes using Machine Learning.☆152Updated 2 years ago
- It is from a kaggle competition where we have to predict the future sales using Machine Learning or Deep Learning. It is a Advanced Regre…☆15Updated 6 years ago
- I have used Time Series Analysis to predict the behavior and pattern of Passengers at a bus stop, Data Visualizations include Time-Series…☆23Updated 5 years ago
- Using Machine Learning Algorithms for Regression Analysis to predict the sales pattern and Using Data Analysis and Data Visualizations to…☆34Updated 6 years ago
- Predicting the stock market opening values using Deep learning's Model Recurrent Neural Networks which is a very powerful model.☆17Updated 6 years ago
- Credit card fraud detection through logistic regression, k-means, and deep learning.☆250Updated 7 years ago
- Predicting Food Delivery Time using Machine Learning☆10Updated 4 years ago