pligor / predicting_quality_of_red_wine
Predicting Quality of Red Wine using Machine Learning
☆17Updated 6 years ago
Alternatives and similar repositories for predicting_quality_of_red_wine:
Users that are interested in predicting_quality_of_red_wine are comparing it to the libraries listed below
- ☆27Updated 2 years ago
- Quick Implementation in python☆52Updated 5 years ago
- Customer churn analysis using Telco dataset☆22Updated 5 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Project for PV056 Machine learning course on clustering of time series☆22Updated 7 years ago
- Data Analysis, Model Building and Deploying with WML on IBM Cloud Pak for Data☆65Updated 4 years ago
- Bosch Production Line Performance Kaggle Competition. Nr 8 on Kaggle Leaderboard.☆17Updated 8 years ago
- My machine learning projects about regression, classification and clustering☆14Updated 5 years ago
- A project on machine learning techniques dealing with imbalanced classification (Python)☆11Updated 7 years ago
- In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data cont…☆29Updated 5 years ago
- This is the code notebook for the blog post on using Python and Auto ARIMA☆105Updated 5 years ago
- ☆16Updated 5 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- Stacking Classifiers for Higher Predictive Performance☆13Updated 5 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆60Updated 2 years ago
- A model to select an optimal subset of features from the target data using swarm intelligence metaheuristic-based approach-Grey Wolf Opti…☆17Updated 5 years ago
- Approaches for the class imbalance problem (in semicondutor manufacturing process line data)☆22Updated 5 years ago
- ☆33Updated last year
- ☆26Updated 5 years ago
- Predict the intention (make a purchase or not) of e-commerce website visitors.☆12Updated 4 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆60Updated 6 years ago
- Hyperparameter tuning and rolling time-series forecast for machine learning models☆17Updated 7 years ago
- Data Analysis and Machine Learning with Python: EDA with ECDF and Correlation analysis, Preprocessing and Feature engineering, L1 (Lasso)…☆32Updated 7 years ago
- Explored synthetic minority oversampling procedure (SMOTE) and AdaBoost for image classification.☆16Updated 9 years ago
- Feature Selection for Credit Scoring using Genetic Algorithm Wrapper(Information Gain)☆14Updated 6 years ago
- ☆26Updated 3 years ago
- Oversampling method based on relative density☆12Updated 4 years ago
- testing scikit-learn Isolation Forest☆76Updated 6 years ago
- A python implementation of a genetic algorithm based approach for cost sensitive learning☆8Updated 5 years ago
- Address imbalance classes in machine learning projects.☆36Updated 3 years ago