#Feature-scaling
Showing 3 of 3 repositories tagged #feature-scaling, ranked by stars
ashishpatel26
Amazing-Feature-Engineering
Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.
Score
100
★ 797
⑂ 277
+1/day
Jupyter Notebook
danyalimran93
Music-Emotion-Recognition
A Machine Learning Approach of Emotional Model
Score
50
★ 246
⑂ 62
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Python
Chinmayrane16
Diamonds-In-Depth-Analysis
Given dataset of Diamonds with features such as Cut, Carat, Clarity etc. I have used libraries such as Pandas, Numpy, Matplotlib, Seaborn to Analyse and Estimate the Price of Diamonds based on the features. Using Scikit-Learn , implemented Algorithms to increase the effective R2 score.
Score
0
★ 18
⑂ 6
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Jupyter Notebook