#openlearncohort1.0 #openlearn #NITJ Today I learned. The way most importance aspect of machine learning which is WHY ML!! " Why Should You Even Care About Machine Learning? What exactly is Machine Learning ?.The key answer I found interesting is that expansion of AI.

📚 Day2 (week0) Just completed "Financial Instruments" in Finance League on @OpenLearn_NITJ 📊Financial Instruments.💵Debt (Bonds, T-Bills), 🏦 Money Market (CP, CD), 🔁Derivatives (Futures, Options), 🧬Hybrids (Convertible Bonds). ✅ Used for returns, hedging.

📚 Day 9 Just completed "Mastering Random Forests" in ML League on @OpenLearn_NITJ ! #Learning #Progress #OpenLearn #day 9 #MLLeague.#week1 Successfully completed.

📚 Just completed "Decision Trees Made Simple" in ML League on @OpenLearn_nitj! #Learning #Progress #OpenLearn #day 8 #week1 completed #MLLeague

#day1 Just completed #FinanceLeague @OpenLearn_NITJ Derivatives are powerful tools in financial markets📊💼.They’re mainly used for:.🔐Hedging – to protect against losses (like insurance for prices).🎯Speculation – to predict & profit from price movements (risky but rewarding)

Day 0 just completed! @OpenLearn_NITJ #FINANCE_LEAGUE Impressed by work of @prathamandotra and usage of ANKI.🧠W0 –Learnt How to Actually Remember Stuff!.🔑Key to retention? → Spaced Repetition + Active Recall📚Learning ≠ Reading.🎯Learning =Testing yourself again & again!

#Day7 completed successfully! @OpenLearn_NITJ .understood k-NN Classifier with variable inputs of k.✅ Achieved accuracy: ~93.75% (impressive for a first KNN project!)

✅ Day 6 Just Completed !. @OpenLearn_NITJ .🧠 Learned Logistic Regression.➕ Sigmoid Magic.📉 Cost Function.🔁 Gradient Descent.🎯 Accuracy, Precision, Recall, F1 Score.📌 Regression in name, but 🔥 at classification!. #ML #openlearn.

Day 5 @OpenLearn_NITJ sucessfully completed Learnt L1, L2, ElasticNet Regularization ✅ Lasso (L1) Regression — Sparsity King 👑.📉🔍✂️ = "Feature reduction done!".🏁✅ L1 Complete 💪.✅ Ridge (L2) Regression — Shrinkage Expert.🏁✅ L2 Complete 🚀

#Day4 of the @OpenLearn_NITJ cohort1.0.I implemented Linear Regression on student exam scores 🎯.🔍Used features like gender, lunch type, and test preparation to predict math scores!.🧠Visualized residuals & actual vs predicted scores!

day 3 completed @OpenLearn_NITJ .📊 Explored how gender, test prep, and parental education impact student performance using Python & Seaborn. 🧠KDEs, boxplots & heatmaps showed:.✅Test prep boosts scores.✅Parental education matters.✅Scores are strongly correlated

🔍 Just completed Day 2 of @OpenLearn_NITJ After many days of understanding and dep insights.I explored the IPL dataset using #pandas & #NumPy:.✅Cleaned match & ball-by-ball data.📊Found top teams, players & insights #LEARN.📈Visualized win trends, player awards & toss impact

Day 1 @OpenLearn_NITJ completed kaggle installation & environment #openlearn #nitj and set up for upcoming cohort #AIINFINANCE #MACHINELEARNING😀❤️‍🔥❤️‍🔥💶🤑.

day 0 #FinanceAI #FraudDetection #OpenLearn #NITJ problem One real-world ML problem that excites me: Fraud Detection in Finance 💳.ML models spot unusual patterns in realtime like sudden large spends or foreign loginsand flag them instantly. 🔍.Smart, adaptive & saves millions!

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RT @sgc_rguktb: Situations that students are going through!!.Students will not stop this #SilentProtest until CM KCR visits the university….

RT @sgc_rguktb: DAY 7 under the natural roof!. #VisitRGUKT @TelanganaCMO