Supervised Machine Learning Example in Python – KAGGLE COMPETITION – Code is Provided

Publicado el: 23 junio 2022
en el canal de: Yiannis Pitsillides

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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 2:
   • Machine Learning - Dealing with Missing Da...

Other Supporting Videos:
Video 1 – Down and Install Python – Numpy Tutorial:
   • How to learn Python? – Specific for Data S...
Video 2 – Pandas Tutorial:
   • Complete PYTHON Tutorial for Data Science ...
Video 3 – JOINs and UNIONs Tutorial:
   • How to Merge DataFrames in Python? Theory ...
Video 4 – Data Visualizations with MatPlotLib:
   • How to create Data Visualizations in Pytho...
Video 5 - Data Visualizations with Seaborn:
   • Complete Seaborn Tutorial on Python – Note...
Video 6 – Machine Learning Example – Regression:
   • Machine Learning Tutorial for Beginners – ...

Table of content:
What is machine Learning?
How to run machine learning in python?
Supervised machine learning example in python
What is the machine learning process
How to clean data in python?
How to do data pre-processing python machine learning
How to deal with outliers in python?
How to investigate the distributions in python?
How to do feature engineering in python?
How to find the most important variables in python?
What is a machine Learning regression model and how it works?
How to run machine learning classification model in python?
How to optimise a machine learning model in python?
How to Run XGBoost in Python?

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