Machine Learning Tutorial for Beginners - Linear Regression Example in Python [Part 1] 

From a csv file all the way to making predictions and deploying your results. Full end-to-end Tutorial on Machine Learning. 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.
Then, we explain what Linear regression is and how it works. After that, we run the model and make predictions. 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:
ipidata.teachable.com/
Raw Data and Code:
github.com/Pitsillides91/Pyth...
Video 1 - Down and Install Python - Numpy Tutorial:
• How to learn Python? -...
Video 2 - Pandas Tutorial:
• Complete PYTHON Tutori...
Video 3 - JOINs and UNIONs Tutorial:
• How to Merge DataFrame...
Video 4 - Data Visualizations with MatPlotLib:
• How to create Data Vis...
Video 5 - Data Visualizations with Seaborn:
• Complete Seaborn Tutor...
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 regression model in python?
- How to optimise a machine learning model in python?
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