Y Combinator’s Post

🚀 Day 7 of my challenge: Successfully navigated the "Rat in a Maze" problem, honing my skills in problem-solving and algorithm design. This challenge has been an incredible journey of learning and growth, pushing me to think creatively and strategically. Excited to continue this journey of continuous learning! #RatInAMaze #ProblemSolving #Algorithm #ChallengeCompleted

🚀 Day 3: Continuing My Machine Learning Journey with Talent Battle: Session 3! 🚀 Today, I'm excited to dive into the third session of the Machine Learning workshop organized by Talent Battle. Each session has been a treasure trove of knowledge and practical applications, and I’m eager to see what new insights this session brings. Key Topics Covered in Session 3: - Advanced Machine Learning concepts - Practical applications and real-world examples - Hands-on coding exercises A huge thanks to Ajinkya Kulkarni Sir and the Talent Battle team for providing these invaluable learning opportunities. Each session brings me one step closer to mastering Machine Learning and applying it to real-world problems. I’m eager to dive into the content and continue building my skills. Let’s keep learning and growing together! #MachineLearning #TalentBattle #ContinuousLearning #TechJourney #DataScience #ML

This course is all about Reinforcement Machine Learning. Nowadays, it is used as an intelligent controller in differerent fields. It is also used in Power Distribution and Utilization.

Proud to share that I've successfully completed the Supervised Machine Learning: Regression and Classification course on Coursera 🤩! Delving into the intricacies of predictive modeling, this immersive program provided a comprehensive understanding of regression and classification algorithms. #machinelearning #supervisedlearning #coursera #learning #regression #classification #logisticlearning

"Delighted to showcase my Coursera achievement: Certification in Supervised Machine Learning covering Regression and Classification. 🌐🤖 This comprehensive course has equipped me with a deep understanding of these essential concepts in the field of Machine Learning. Grateful for the opportunity to expand my knowledge through interactive modules and practical exercises. Excited to apply these skills in real-world scenarios, thanks to Coursera! 🚀📜 #MachineLearning #CourseraCertified #Regression #Classification"

Managing machine learning concepts using renowned textbooks by Tom Mitchell and Christopher Bishop can be quite challenging. While these books are incredibly insightful and foundational for understanding machine learning, comprehending their content thoroughly is time-consuming. I have recently initiated a blog where I share my personal notes, including hand-written derivations, that I utilize for my classes. I believe these resources could be beneficial for others. Here is the link to my blog for your reference. I hope you find it helpful. https://lnkd.in/grWgwM3k

🚀 Hello, world! 🚀 Excited to announce that I've finally completed my first machine learning course on Coursera, taught by the legendary Andrew Ng. The course design was absolutely fantastic! Here's a sneak peek at what I've learned: Supervised Learning Week 1: regression models . Implemented and visualized a cost function (it really cost me some sleep! 😴) Tackled gradient descent (no, not a hiking term! 🏞️) Optimized regression models using gradient descent Week 2: Cracked the code of linear regression Used vectorization to implement multiple linear regression (because who needs loops? 🔄) Dived into feature scaling, feature engineering, and polynomial regression to turbocharge model training 🚀 Week 3: Conquered logistic regression for binary classification (1 or 0) Tackled overfitting with regularization, because who likes models that are too clingy? 🙅 The programming labs were a blast—so much fun to work around and learn! 💻 Can't wait to dive deeper into these concepts and apply them to real-world projects. Onward and upward! 🚀 --redesign by AI ( You know which one ) 😆 #MachineLearning #ArtificialIntelligence #AndrewNg #Coursera #LearningJourney #SupervisedLearning

Hello Network, I’m excited to share that I’ve completed the "Supervised Machine Learning: Regression and Classification" certificate! Huge thanks to Andrew Ng for creating such an outstanding course, and to Coursera for providing excellent video content. While this isn’t my first course on machine learning, this one offered an in-depth walkthrough of the Gradient algorithm. It provided a clear understanding of the cost function, gradient descent implementation, and various regularization techniques. I’m looking forward to continuing my learning journey with more courses from Andrew Ng and deeplearning.ai. #MachineLearning #SupervisedLearning #ContinuousLearning #Coursera #DeepLearningAI #AndrewNg

Just completed Week 1 of 'Divide and Conquer, Searching and Sorting, Randomized Algorithms' course offered by Stanford University. Explored topics such as: -Karatsuba multiplication -Merge Sort -Asymptotic Analysis Excited for what's next! 💡 #StanfordUniversity #Algorithms #Learning

It is attractive to rely just on the magic word "predict" when it comes to machine learning, however, it is important to understand the fundamental ideas that goes behind this complex process. My baby steps to understand the maths behind this complex process. Refreshing the forgotten complex mathematics studied in higher secondary. Thanks to #coursera #andrewng for a well structured and detailed course. Long way to go!