More talks in the program:
Content & Process
First of all, we’ll explore and preprocess the data: clean them, fix the errors, convert to appropriate type, etc. Then we will more thoroughly analyze the data: its correlations, relationships, and distribution of variables. After that, we will get rid of the least useful features and try to engineer new ones. Finally, you will train different machine learning models and see how data processing and feature engineering affect the model accuracy and training time.
Primary data analysis and Preprocessing
- Exploratory Data Analysis
Machine Learning model training and evaluation
Audience & Requirements
The workshop requires participants to have a basic knowledge of Python and Machine Learning. If you do not have any coding experience you are still welcome to join us to get a sense of how much effort is invested to develop a machine learning project. Also, all the solutions will be provided during the workshop. Each participant should bring their own laptop and make sure VPN restrictions do not block the connection to Google Colab.