Week 3 Day 3
#SummerAnalytics2026@cnaiitg
Learn about KNN classifier, its use case and working, choosing of k value, finding KNN through brute search, kd tree, ball tree and model implementation.
#WIADTS
Week 3 Day 2
Learnt about different evaluation metrics for classification, regression and clustering.
Covered confusion matrix, sensitivity and specificity, recall and precision and AUC-ROC curve in detail.
#SummerAnalytics2026@cnaiitg#WIADTS
Week 3 Day 1
Learnt a lot of new terms like bias, variance, overfitting, how to minimize overfitting, relation between bias, variance & overfitting/underfitting and L1/ Lasso and L2/ Ridge Regularization.
#SummerAnalytics26@cnaiitg
Back on the journey: Week 2 Day 5
Completed Logistic Regression
Spent a lot of time studying and implementing the provided Kaggle notebook.
#SummerAnalytics2026@cnaiitg
Been off the grid past few days!
Had prior commitments and deadlines lines up, but I'M BACK
Catching up from Week2 Day 5 from tomorrow.
Have missed the deadline for the hackathon obviously, but gonna attempt it this week, anyways.
#SummerAnalytics2026@cnaiitg#WIADTS
Week 2 Day 4 ✨
Learnt about Linear Regression and Logistic Regression.
Got introduced to a lot of new topics. Will have to revisit and revise.
Will hopefully get more clarity about Logistic Regression on day 5.
#SummerAnalytics2026@cnaiitg#WIADTS
Week 2 Day 3 ✨
I had learnt about Linear Regression in Prob and Stats syllabus last semester but I guess today I actually understood it beyond just formulas. Loved the resources provided for today's topic!
#SummerAnalytics2026@cnaiitg#WIADTS
Week 2 Day 2 ✨
Learnings-
- diff approaches to handle categorical data
- supervised v/s unsupervised learning and its use cases
- diff types of feature transformation
- process mining and its significance
#SummerAnalytics2026@cnaiitg#WIADTS
Done with Week 2 Day 1
Added a lot to my knowledge of handling issues within a dataset. This journey just got a lot more interesting!
#SummerAnalytics2026@cnaiitg#WIADTS
Revised Seaborn and Prob & Stats
Completed with tasks of Week 1 / 6 ✅ of DS, ML and AI learning
Looking forward to attempt the quiz tomorrow.
#SummerAnalytics2026@cnaiitg#WIADTS
Had foundational knowledge of Python Libraries - Numpy, Pandas, Matplotlib and Seaborn
Revisiting and revising them helped cover the loopholes in my learnings
Got an introduction to Machine Learning
Will revise Prob and Stats tomorrow
#SummerAnalytics2026@cnaiitg#WIADTS
@NagaNety@cnaiitg Worked with the same stack this week to perform EDA on 'Urban Inflation Analysis (Delhi)' project. Posting updates on my profile too! Would love your insights. #WIADTS