OpenLearn

Democratizing Learnings, Transforming Futures!

[OpenLearn @OpenLearn_NITJ]

We are excited to announce that OpenLearn V2 with an improved user experience and upgraded features.

[DEEPIKA @ce_deepika]

📚 Just completed "Task B: Rewrite a C-style `for(i=0; i<len; i++)` loop into a Pythonic `enumerate` loop" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn
code:
https://t.co/nxAMnIWOOv

[DEEPIKA @ce_deepika]

📚 Just completed "Task A: Write a script that takes a sentence and prints it backwards without using a loop (Hint: Slicing [::-1] )" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn
code:
https://t.co/HaZGDcEBEg

[Sahibnoor Singh @sahib010307]

📚 Just completed "Slicing & Indexing: Boolean masking" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn #haneri_lya_dyage

[Sahibnoor Singh @sahib010307]

📚 Just completed "Broadcasting: Adding a scalar to a vector without a loop" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn #haneri_lya_dyage

[Sukhjot @SukhjotBioML]

Week 2 - day 6
Completed "Task B: Check the feature_importances_ attribute of your forest to see what truly drives the predictions" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn

[Sukhjot @SukhjotBioML]

Week 2 - day 6
Completed "Task A: Train both a single Decision Tree and a Random Forest on the same dataset. Compare their performance on a "Test" set" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn

[Shobhit Layal @LayalShobhit]

Week 2, Day 5 @OpenLearn_NITJ ✅
Today, the focus shifted to decision trees.
Wrapped up with the "Composition of a Perfect Wine" challenge—extracting Feature Importance to visualize exactly how the model makes decisions.
@VatsalKhanna55, I have something for you 👇
#Python

[Sahibnoor Singh @sahib010307]

📚 Just completed "The Array: Creating arrays" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn #haneri_lya_dyage

[Shobhit Layal @LayalShobhit]

Week 2, Day 4 @OpenLearn_NITJ ✅
Today was deep dive into the geometry of Machine Learning with K-Nearest Neighbors.
1) Learned KNN 2) Feature Scaling is non-negotiable 3) Used Elbow Plot to find the optimal hyperparameter.

Looks like K=9 is the sweet spot for my dataset!🎯📉

[Sahibnoor Singh @sahib010307]

📚 Just completed "Map, Filter, Reduce: Functional programming basics" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn #haneri_lya_dyage

[Sukhjot @SukhjotBioML]

Week 2 - day 5
Completed "Task B: Experiment with min_samples_split and observe how it affects the complexity of the tree" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn

[Sukhjot @SukhjotBioML]

Week 2 - day 5
Completed "Task A: Train a Decision Tree and export the visualization as a PNG" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn

[Sukhjot @SukhjotBioML]

Week 2 - day 5
Completed "Splitting Criteria: How the tree decides which feature to split on first", "Tree Depth" and "Visualization: Using plot_tree to see the logic of your model" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn

[Shobhit Layal @LayalShobhit]

Week 2 Day 3 took...well, 3 days @OpenLearn_NITJ 😅
Finally wrapped up Logistic Regression. It sounds fancy, but it's basically teaching a computer to draw an 'S' curve instead of a straight line.
Slow progress is still progress.
#Python

[Sukhjot @SukhjotBioML]

Week 2 - day 4
Completed "Task B: Compare model accuracy on a dataset before and after using StandardScaler" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn

[Sukhjot @SukhjotBioML]

Week 2 -day 4
Completed "Task A: Implement a basic KNN classifier from scratch using only NumPy (no Scikit-Learn)" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn

[Sukhjot @SukhjotBioML]

Week 2 - day 3
Completed "The Sigmoid Function", "Evaluation Metrics: Confusion Matrix, Precision, Recall, and the F1-Score" and "Thresholding: Deciding when a 0.6 probability counts as a "Yes."" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn

[Shobhit Layal @LayalShobhit]

Week 2, Day 1 @OpenLearn_NITJ : DONE. ✅
Ended the day building my first Linear Regression model from scratch.
Today's Stack: Scikit-Learn for the Model 📊Matplotlib for Visualization
The Reality Check:I fed the model only Area to predict Price. 📉
Accuracy (R²): 0.27(27%) LOL😂

[Sahibnoor Singh @sahib010307]

📚 Just completed "Functions" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn #haneri_lya_dyage

[Sukhjot @SukhjotBioML]

Week 2 - day 2
Completed "L2 Regularization (Ridge)", "L1 Regularization (Lasso)" and "Elastic Net: The hybrid approach that combines L1 and L2 penalties" in ML League (1.5) on @OpenLearn_nitj! #Learning #Progress #OpenLearn