Open Machine Learning Course in Dubai
This is repository with all meterials for ML course in Dubai which is held in spring 2020. The course is orginised with support from Open Data Science community. The course starts on 19th of February. The event will be hold by Hult International Business School. All lectures will be covered by tutors with the practical experience from Reactor, FICO, Deloitte, VISA, American University of Sharjah.
- Introduction, 19.02.2020
- Exploratory Data Analysis with Pandas, 25.03.2020
- Visual Data Analysis with Python, 01.04.2020
- Decision Trees, 08.04.2020
- Logistic Regression, 15.04.2020
- Ensembles and Random Forest 22.04.2020
- Logistic Regression 30.04.2020
- Unsupervised Learning: Principal Component Analysis and Clustering 06.05.2020
- Gradient Descent and SGD 13.05.2020
- Time Series Analysis with Python 20.05.2020
- Gradient Boosting and CatBoost 27.05.2020
Ratings are updated after each assignment. The link can be found here - https://docs.google.com/spreadsheets/d/1pbfhIyDURLiLWVHZGWAPC_g9l7DHSmQb2v7mrvKzmPc/edit?usp=sharing
Assignments are announced in the #mlcourse_dubai channel in ODS Slack team (pinned items). Also, links to fresh assignments are provided in the Readme file of the course repository. Apart from that, you can practice with demo assignments, don’t confuse them with “real” ones
A1. Pandas and data analysis 31.03.2020
A2. Visualization 07.04.2020
A4. Linear Regression 23.04.2020
A5. Kaggle competition #1 30.04.2020
A6. Ensembles, bagging, Random Forest 31.04.2020
A7. Kaggle competition #2 06.06.2020
A8. SGD 26.05.2020
A9.
All deadlines are 23:59 (Dubai time).
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Decision Trees and KNN Deadline: 30.04.2020
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Genres classification Deadline: 06.06.2020
Our community website with all events
Discussions are held in the #mlcourse_dubai channel of the OpenDataScience (ods.ai) Slack team. Fill in this form to get invitation to the channel