Advance Machine Learning Tutorial Python – Feature Selection, Model Optimization & Parameter Tuning
Different techniques to improve your results / predictions. Learn how to optimize your machine learning model. This video is a continuation from the previous video where we run a simple linear regression model. In this video we will try various techniques in order to improve our results and our model. Hope you enjoy the video!
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Video 1 – Down and Install Python – Numpy Tutorial:
• How to learn Python? – Specific for D...
Video 2 – Pandas Tutorial:
• Complete PYTHON Tutorial for Data Sci...
Video 3 – JOINs and UNIONs Tutorial:
• How to Merge DataFrames in Python? Th...
Video 4 – Data Visualizations with MatPlotLib:
• How to create Data Visualizations in ...
Video 5 - Data Visualizations with Seaborn:
• Complete Seaborn Tutorial on Python –...
Video 6 - Machine Learning Tutorial for Beginners – Linear Regression Example
• Machine Learning Tutorial for Beginne...
Table of content:
Advance Machine Learning Tutorial
Different ways to improve model results / predictions
Hyperparameter optimization
Machine Learning Model optimization
REL Feature Elimination Selection
How to run REL Feature Elimination Selection in python
RFR Random Forest Regressor
How to run RFR Random Forest Regressor in Python
XGBoost model in python
How to run XGBoost in Python
How to optimise XGBoost in python
NNR Neural Net Regression in Python – how to run NN in python
How to deploy machine learning models
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