
Arin
@ARIN__SINGHAL
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Crunching data, one byte at a time π»
Delhi
Joined May 2020
Excited to announce that I've successfully completed all three courses in the Machine Learning Specialization by @DeepLearningAI Now, shifting gears to focus on hands-on project building. Can't wait to apply my newfound skills in real-world scenarios! #MachineLearning
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#100dayofcode.Update over last two weeks:. Completed the Unsupervised Learning course by finishing the 3rd week. Kept up consistency with LeetCode questions, maintaining a streak of 33 days! π».π #CodeJourney #UnsupervisedLearning #buildinpublic
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#100daysofcode . Another week down! Finished week 2 of Unsupervised Learning and kept sharp with DSA questions daily. Stepping forward, one coding challenge at a time! π»π #CodeJourney #machinelearning #buildinpublic.
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#100DaysOfCode Completed week 1 of Unsupervised Learning and solved LeetCode daily questions all week. Making progress one step at a time! π»π #CodeJourney #UnsupervisedLearning #learninginpublic.
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#100DaysOfCode Practiced DSA questions all week. Ready to dive back into machine learning this weekend! π»π #learninginpublic #DSA.
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#100DaysOfCode Started the Unsupervised Learning, Recommenders, Reinforcement Learning course. Excited for the journey ahead! ππ» #buildinpublic #MachineLearning.
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#100DaysOfCode Picked up DSA again, practiced a few questions. Striving for consistency alongside the machine learning journey! πͺπ» #CodeJourney #DSA #MachineLearning #LearnInPublic.
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#100DaysOfCode Completed Advance Learning Algorithms, Course 2 of 3 in the Machine Learning Specialization by @DeepLearningAI. ππ» #MachineLearning #CodeJourney
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#100DaysOfCode Finished Week 3 of Advance Learning Algorithms(@DeepLearningAI):. Week 1: Neural networks using TensorFlow for classification. Week 2: Learnt Adam optimizer and expand layer types. Week 3: learned about model tuning, enhanced training data. #MachineLearning.
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π Couldn't complete #100DaysofCode last time, but gearing up for a fresh start with stronger determination this time. πͺ Ready to embrace the coding journey once again! π»π #CodeJourney #buildinpublic.
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Back on Twitter after a month of DSA and ML. Applied to many, mostly silence, reached the final round in one, faced rejection. Ready to bounce back, knowing the journey is tough but not impossible. πͺπ #CodeJourney #buildinpublic.
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Excited to share that I've successfully completed the Supervised Machine Learning Regression and Classification course by @DeepLearningAI! π . Ready to apply these skills and dive deeper into the world of #MachineLearning #buildinpublic
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π Days 20-25 of #100DaysofCode: Stepped away from machine learning to dive deep into revisiting DSA concepts. π π»π #CodeJourney #DataStructures #Algorithms.
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π Days 14-19 of #100DaysofCode: Explored the mechanics of gradient descent, delved into cost functions for regression, and implemented them in code. Also, took on some challenging DSA questions to keep up! π»π’ #buildinpublic #MachineLearning #DSA.
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π Days 11-13 of #100DaysofCode: Wrapped up polynomial regression and delved into the intricacies of support vector regression. Progress was slow for the past 3 days, but ready to pick up the pace and delve deeper into the learning journey! πͺπ» #buildinpublic #MachineLearning.
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β Days 5-10 of #100DaysofCode: Immersed myself in a Java knowledge boost and explored the intricacies of multiple and polynomial linear regression. π Back to the world of ML from today, pumped and ready! πͺπ» #buildinpublic #MachineLearning.
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π‘ Day 3 & 4 of #100DaysofCode: Dived into some DSA problems, now ready to refocus on ML once again! π§π» #CodeJourney #ML #DSA.
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π Back on track with #100DaysofCode after a brief hiatus due to exams and other commitments. Restarted at Day 1 with data preprocessing and simple linear regression, now on Day 2 exploring multiple linear regression. ππ» . Gonna juggle with DSA too this time around.
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π Day 7 of #100DaysofCode: Leaped into regressionβstarting with simple linear regression! .π Understanding how it predicts using one factor. Will practice on a few dayasets, then onto multiple linear regression! πͺπ».#DataScience #MachineLearning #buildinpublic.
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