Session 1: Data Analysis & Pre-processing
🔥Python Basics: Loops & Lists.
-Numpy arrays: Slicing.
-Pandas Dataframes: Slicing.
🔥Pre-processing:
-Encoding Techniques.
-Imputing missing values.
-Data Scaling.
🔥Exploratory Analysis:
-Basic statistics & exploration with Pandas.
-Types of plots & their meanings.
-How to choose encoding & imputing techniques based on EDA.
National School of Electronics and telecommunications of sfax
GDSC Lead
Cyber Security Departement Lead
Cloud and Devops Departement Lead
Cyber secuirty Departement co-Lead
Advenced Web Departement Lead
Machine Learning Departement Lead
Marketing Departement Lead
Enet'Com
Event and Finance Lead
Blockchain and NFT Departement Lead
Talent and Office Lead