Answer to QOTD: All debentures are bonds but not all bonds are debentures. Bonds are fixed income instruments that work on regulated and secured terms which have defined term and interest whereas debentures are unsecured and flexible in nature, posing higher risk generally.

📚Day 2: Just completed "Financial Instruments" in Finance League on @OpenLearn_nitj! .I also have a thread to this post, explaining my understanding of bonds and debentures. #Learning #Progress #OpenLearn.

📚 Just completed "Heard of Hierarchical Clustering?" in ML League on @OpenLearn_nitj! #Learning #Progress #OpenLearn.

Answer for QOTD: Primary markets helps a company to raise funds for newer registered assets via directly investing to the issuing entity whereas secondary markets facilitates stock trading among the investors of the existing stocks, hence, maintaining liquidity for the company.

📚 Day 1: Just completed "Intro to Financial Markets" in Finance League on @OpenLearn_nitj! #Learning #Progress #Finance.

I have documented a bit of description. Initially, individual components were easy to code but in the ending for binary classification boundaries and compiling them into a successful model needed some help. Voila! Pulled it off, and implemented it on the iris dataset.

Hey peeps, I have tried something exciting within ML journey i.e. I build a LogisticRegression model from scratch using simple python implementation. Yeah, Kudos to me!😎.You guys can have a look at the notebook: .#Learning #MachineLearning @OpenLearn_NITJ.

Going for the Hands for the knowledge harnessed via the blogs and other resources.

📚 Day 21: Just completed "What is Streamlit" in ML!.A heartfelt gratitude for @VatsalKhanna55 , @Ratinder_999 , @adexxhhh and the other members working behind the scene of @OpenLearn_NITJ for providing a seamless platform to learn. Looking forward to upcoming phases of #Progress.

📚 Day 20: Just completed "Grid Search CV and Cross Validation Techniques" in ML League on @OpenLearn_nitj! #Learning #Progress #OpenLearn #MachineLearning.

📚 Day 19: Just completed "Guide to Feature Engineering" in ML League on @OpenLearn_nitj!.Thank you @Kunal2417_ sir for the insightful blog; Gave a new understanding for the EDA as well. Going to take on the mission as well.🫡#Progress #OpenLearn #MachineLearning #Data #Learning.

📚 Just completed "Understanding Sklearn Pipelines" in ML League on @OpenLearn_nitj! #Learning #Progress #OpenLearn.

📚 Day 0: Just completed "Day0: How to actually remember stuff" in Finance League on @OpenLearn_nitj!.With @thisisPrathamA 's guidance it will be fun journey. #Learning #Progress #OpenLearn.

📚Day 14: Wrapped up "Visualization using t-SNE". 📚Day 15: "Anomaly Detection (Isolation Forest, One-Class SVM)" in ML on @OpenLearn_nitj!.Only the hand-on part is remaining. Staying Consistent. 💪#Learning #Progress #OpenLearn.

📚Day 13: Just completed "Decoding PCA" in ML on @OpenLearn_nitj!.Experiencing bumps along the journey, but going on with the learning spirit.💪 #Learning #Progress #OpenLearn #MachineLearning #Data.

📚Day 11: Dove into Unsupervised Learning and its getting tricky from here on out, .Completed "Understanding K-means Clustering" in ML on @OpenLearn_nitj! #Learning #Progress #OpenLearn #MachineLearning.

Second Milestone P2:.Practically understood classifier regression models, such as K-NN, Decision Trees, RandomForest! @OpenLearn_NITJ .Dataset: Avocado ripeness; Cliched Data EDA, Visualized the features, Tuning & adjusting, Evaluating & Visualization of the models.👏#Learning

📚 Second Milestone P1:.Steadily, applied Linear regression, Lasso, Ridge, EasticNet on the students dataset.🫡.Visualized, No cleaning and tuning as data was pretty clean itself, Evaluation & Compared the Models.🧐#Learning #Progress #OpenLearn #MachinneLearning @OpenLearn_NITJ

Day 9 Task: Training the RandomForest Model to classify the wine quality dataset. The dataset was pretty delicate to handle.😓.Visualizing the raw data, Cleaning, Preprocessing, and Evaluating the model, done each step religiously. "Aged like a Fine Wine." 🤌. @OpenLearn_NITJ

📚 Day 9: Just completed "Mastering Random Forests" in ML on @OpenLearn_nitj! Delved into Random Forests, Entropy and Ginni. 🤓 Very interesting and got me more wrapped up into the rabbit hole of ML! And i don't regret it.😉#Learning #Progress #ML #RandomForest #Ensemble.