Machine Learning - Dealing with Missing Data, Model Optimization & Parameter Tuning = Better Results

Опубликовано: 19 Июль 2022
на канале: Yiannis Pitsillides

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Improve your model with these steps! Interesting ways of dealing with missing data, model optimisation and parameter tuning in order to get better results! Solve your first Kaggle Competition! From a csv file all the way to making predictions and deploying your results. Full end-to-end Tutorial on Machine Learning in Python. We start by explaining the Machine Learning Process. Then, we move on to the Data pre-processing phase where we clean and transform our data. We show some methods on how to identify the most important variables.
After that, we run the model and make predictions. Every time we run a model, we submit it into Kaggle to get our score on the evaluation dataset. Then, we go over a few methods on how to improve our results & predictions. We provide the raw data and the code! Hope you enjoy!

Data Analytics Course Link:
http://ipidata.teachable.com/

Raw Data and Code:
https://github.com/Pitsillides91/Pyth...

Part 1:
   • Supervised Machine Learning Example i...

Other Supporting Videos:
Video 1 – Download 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 Example – Regression:
   • Machine Learning Tutorial for Beginne...

Table of content:
How to run machine learning in Python
Kaggle competition example
How to improve my machine learning model
How to improve my accuracy
How to deal with missing values
How to deal with missing data
How to optimise my machine learning model
How to do hyper parameter tuning in machine learning
Machine Learning XGBoost
Machine Learning RFE
Machine Learning Search CV Library

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