Wine Quality Prediction with Machine Learning (part 1) — Data preprocessing and Feature Correlation

Hello Everyone! My name is Andrew Fung, in this video, I will be showing you how to create a Wine Quality Prediction Project as a part of the Machine Learning series. I will be walking you through different processes and steps to take to slowly train and enhance the performance of your models, such as data preprocessing, features selection, feature correlation , classification and hyper parameters tuning. Hope you enjoy this tutorial ;)

#python​ #correlation #machinelearning​ #dataprocessing

Installation and Setup!

Check out my Github!

Timestamps
0:00​ | Introduction
0:48​ | Dataset
2:08​ | Data processing
4:57 | Correlation heat map
6:48​ | Out tro

Full code:
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import pandas as pd
import numpy as np
import seaborn as sns

# check whether the libraries are imported properly and show their versions
print(pd.__version__)
print(np.__version__)
print(sns.__version__)

# import the training dataset as a pandas dataframe

# replace NaN values with median

# drop duplicated rows

# draw a heatmap to visualize the correlation between every two of the 10 features
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Feel free to drop a like and comment if you enjoy and video and let me know if you want me to do other types of programming videos ;) !!!