Week 3
Explored Bias-Variance Tradeoff, Regularization, Evaluation Metrics, KNN, Naive Bayes, and SVM.
Key takeaway: Better model selection and evaluation lead to better predictions.
#SummerAnalytics2026#BuildInPublic@cnaiitg
Day 4 of Week 2
Learned Multiple Linear Regression with Scikit-learn and explored how multiple features improve predictions.
Key takeaway: Better features lead to better models.
#SummerAnalytics2026#BuildInPublic@cnaiitg
I earned my "Unlock productivity and unleash creativity with AI powered chat" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey!
https://t.co/6w757Ewino #MSLearnBadge
Day 2 of Week 2 ✅
Completed Introduction to Process Mining on Celonis Academy.
Learned how Process Mining uses digital footprints to visualize workflows, detect bottlenecks, and improve business processes.
#SummerAnalytics2026#BuildInPublic@cnaiitg
Attended an EDA session by Samarth Saraswat (Microsoft).
Key takeaway: Understanding data before building models is crucial. EDA helps uncover patterns, trends, anomalies, and insights for better decisions.
@cnaiitg#EDA#DataScience#MachineLearning#Python#Analytics
Day 3 Update
Continuing my #SummerAnalytics2026 journey. Today I explored Python strings, formatting, and useful string methods. It's exciting to see how these concepts form the building blocks of data analysis and machine learning.
@cnaiitg#Python#LearningInPublic#DataScience
When will we take action against companies that mislead students with job descriptions? Posting 6 CGPA eligibility but selecting only 9+ CGPA candidates is unfair. And offering 4 LPA in expensive cities is not realistic for freshers. Transparency matters.
#DeleteNLA#Deloitte
Many students apply for NLA roles based on the stated eligibility, but if the real requirement is much higher (like 9+ CGPA), companies should be transparent. Don’t create false expectations for thousands of applicants. Update or remove misleading job descriptions.
#DeleteNLA
Private “greedy” colleges in India charge fines for everything, don’t give proper marks, and treat students like income sources. At 21, I’ve realized how hard life is here—no clean air, no good healthcare, no quality education. The middle class struggles every day.