osmanatam / mlcourse_dubai Goto Github PK

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.

Schedule of Lectures

0. Introduction, 19.02.2020
1. Exploratory Data Analysis with Pandas, 25.03.2020
2. Visual Data Analysis with Python, 01.04.2020
3. Decision Trees, 08.04.2020
4. Logistic Regression, 15.04.2020
5. Ensembles and Random Forest 22.04.2020
6. Linear regression and regularization 29.04.2020
7. Unsupervised Learning: Principal Component Analysis and Clustering 06.04.2020
8. Time Series Analysis with Python
9. SGD with Vowpal Wabbit
10. Gradient Boosting and CatBoost

Video Recordings:

https://bit.ly/3csuc0g

Students ratings

Ratings are updated after each assignment. The link can be found here - https://docs.google.com/spreadsheets/d/1pbfhIyDURLiLWVHZGWAPC_g9l7DHSmQb2v7mrvKzmPc/edit?usp=sharing

Assignments

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

All deadlines are 23:59 (Dubai time).

Kaggle competitions

1. Decision Trees and KNN Deadline: 30.04.2020

Community

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