This Goal and what to do until now

1. Learn about devlopers tools and use Andrew Template
2. To Earn the badge you need to Do level 5 challage to
3. We learn about how to use Cursor
4. Repo prompt somthing to look for by guest introcutor
5. Composer mode vs Chat mode in cursor
6. Broson
7. Instructor

GoveTech

Andrew brought someone to speak about GoveTech what are oppurinites that you can have

Data Primer

speaker Take how data is important and how you should procese date and give you like grabage in grabage out

Misconeptions about Gen Ai

GenAi

Data Peration best

1. Data Cleaning a. Remove Duplicates b. Remove Null Values c. Remove Outliers d. Remove Irrelevant Data

2. Data Transformation a. Normalization b. Standardization c. Encoding d. Discretization

3. Feature Engineering a. Feature Selection b. Feature Extraction c. Feature Construction d. Feature Scaling

key take away for Data primer

1. Quality data is essential for accurate and reliable AI models
2. Consitency matters in data processing and analysis.
3. Privaacy and security are critical considerations in data handling.
4. Dcocumetation and transparency are key to reproducibility and accountability.