Wine Quality Prediction Machine Learning Model Project in Python. In this Machine Learning Project, ML model is going to Predict Quality of Wine based on Ingredients Quantity.
We have developed this Machine Learning model with Random Forest Classifier Machine Learning Algorithm.
This Tutorial Explained in Beginners point of view to understand How Machine Learning Algorithms Work ? and How to Develop a classification Machine Learning Model in Python.
Explained Concepts from Data Extraction, Pre Processing of Data, Data Analysis, Removing Null Values, Removing Duplicate Values, Balancing imbalanced dataset with Under sampling, Over Sampling methods, Creating a Logistic Regression Machine Learning Model, Training Model, Predicting Values with Model and evaluating Model Predictions with Accuracy Score.
00:00 - 01:45 - Intro about Model
01:45 - 03:10 - Installing Libraries
03:10 - 12:40 - Data Analysis
12:41 - 23:50 - Charts and Heatmap
23:51 - 27:38 - Scaling Data
27:38 - 29:00 - Test & Train Data Split
29:00 - 29:15 - Model Creation
29:15 - 29:36 - Training Model
29:36 - 31:45 - Evaluating Model
31:45 - 36:30 - Predicting Values From Model
36:30 - 43:26 - Recap
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Link to Machine Learning Projects in Python
https://www.youtube.com/playlist?list=PLyk7y6rWi9cB-wOLftQzx-IQFhJ9__QwY
Link to Deep Learning Projects in Python
https://www.youtube.com/playlist?list=PLyk7y6rWi9cAOJ5u6Xn9Jf7sBDhyHdJCz
