Built an ML model for absenteeism prediction, focusing on data encoding, feature analysis, and practical insights. Also mentioned some suggestions for improvement and a real-world case study.
Discover how my first assignment in the InnoQuest Cohort 1 Data Science module revisited the basics of pandas, reinforcing essential skills in data manipulation and analysis.
In this blog post, I share key takeaways from Class 5 of the InnoQuest Cohort-1 AI/ML program, focusing on real-world data preprocessing and feature engineering using the California Housing and Absenteeism datasets.
Discover insights from InnoQuest Cohort-1 Class 4. Learn about EDA, statistical measures, Pareto distribution, correlation vs. covariance, and effective data visualization techniques.
Education is evolving, and this AI-powered Quiz Generator simplifies quiz creation and performance evaluation using advanced techniques like RAG and LLMs.
Enhancing student outcomes and school reputation with AI-driven insights and performance tracking.
Day 3 of InnoQuest Bootcamp Cohort-1 focused on data cleaning and visualization with Pandas! 🐼 From managing NaN values to crafting impactful visuals, it was a session full of practical insights.
Day 2 of the InnoQuest Bootcamp Cohort-1 delved into NumPy and Pandas essentials. Discover how this session enhanced my understanding of data Handling and inspired new project ideas.
Day 1 of the InnoQuest Bootcamp Cohort-1 covered Python from basics to OOPs. Read my journey to becoming a Certified Generative AI Specialist with Innovista and NUST.
