Intro to Data Science and Machine Learning in Python
3 days
Overview
Data science and machine learning are becoming increasingly mainstream in software products. As a developer, if you want to get into that playing field, come and get a taste of the skills needed, and start your journey on that path. During this training you will:
- Analyze, visualize and derive insights from data using python
- Create a basic, end-to-end, machine learning model
- Understand the full workflow of Data Science and Machine Learning, from exploration to production
The course is hands-on and the participants are expected to take part in coding throughout the course.
Prerequisites
- Python programming experience
- No programming experience with Python? Consider taking our Python intro course
Audience
Software Developers
Environment
A working python (3.6 and above) installation – Can be python or anaconda
Course Content
Topics
- The data exploration cycle
- Jupyter notebook & Google colab
- Numpy. Working with arrays
- Pandas. Working with dataframes
- Data import & cleaning, filling the gaps
- Hands on: analyzing weather data
- Basic visualization with Matplotlib
- AI, Machine Learning and Deep Learning concepts
- The ML Workflow
- Regression systems
- Backpropagation & Gradient Descent
- Pytorch. Working with tensors
- Features engineering. Scaling and one-hot encoding
- Artificial Neural networks
- Hands on: Working through an end-to-end machine learning flow
- Overview of common architectures - ANNs, CNN, RNN, GANs
- From ML to production - Overview of the ML ecosystem
