Are you interested in Machine Learning (ML), but don’t know where to begin? Let’s start here 😃

This is the first video in a complete Machine Learning Course that starts with the basics. We’ll build the core skills step-by-step by teaching the mathematics along the way but not before giving a solid intuition through interactive tutorials.

One by one we’ll explain the essential Machine Learning Algorithms, build them from scratch so that they make sense, as well as write the code that you’d actually need as a Machine Learning Engineer.

Machine Learning and Artificial Intelligence (AI) is commonly implemented in the Python programming language due to its simplicity to read and write, and because of this, several libraries for scientific computing using Python
have rose dramatically in popularity such as NumPy, Pandas, Matplotlib, Scikit-Learn, TensorFlow, Keras. Therefore, we use the Python programming language through the entire course.

Along the way, we perform common Data Science techniques such as Exploratory Data Analysis (EDA), Analytics, Data Mining, Data Visualization, Data Cleaning, and more.

Timeline:
0:00​ Introduction
1:35​ Google Colab - Our Coding Environment
5:30​ Get the Data
8:00​ Data Visualization
11:46​ Data Cleaning
22:14​ Define, Build, and Train the Model
43:15​ Making Predictions
45:16​ WATCH THIS!

The Notebook Code: https://github.com/gahogg/YouTube/blo… ​

Google Colab: https://colab.research.google.com/ ​

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#machine-learning #python