#100daysofmlcode search results
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Day [68/ 100] of #100daysofcode -> Solved POTD -> Solved 5 LC problems (math) - 1342 (ez) - 2139 (med) - 1404 (med) - 223 (med) - 289 (med) -> Solved 3 CF problems (1400 rated) #LeetCode #buildinpublic
【再掲&タイムラプス公開】 100日チャレンジのDay17モナちゃんをタイムラプス動画にしました! ご興味あれば見てもらえると嬉しいです❣ 100チャレイラストもこれからたくさんタイムラプス動画にする予定です🥳 動画はこちらから▽ youtube.com/shorts/c_V3pL0…
Day - 84 of #100DaysOfCode solved: 167. Two Sum II - Input Array Is Sorted 209. Minimum Size Subarray Sum on #LeetCode
Day 56 of becoming an ML beast 🦾 did some LeetCode array problems Learned the intuition behind PCA (Dimensionality Reduction) Revised Stack using Python Lists Strengthened ML theory concepts #MachineLearning #CodingJourney #100DaysOfML
Day 100 of #100DaysOfCode 🚀 Today I: -added another section to the homepage of the e-commerce website -fixed some issues in the categories page -added a checkout page I still need to make the ui laptop and tablet friendly and fix some other ui issues but asides that, I'm done
Day 53 of #100DaysOfCode Learned how to move data between MySQL & a distributed file system using SQOOP. Then, linked list challenge on @LeetCode! I actually came up with the optimal algorithm (gasp😮), but it took me a bit of time to implement/refactor😊. #100DaysOfMLCode
Day 1 of #365DaysOfCodeChallenge 🚀 Revised JavaScript (till Objects) 💻 Solved lots of problems 🔥 Brushed up Calculus 📘 Studied Data Gathering in ML 🤖 Read a chapter of Atomic Habits 📖 Stacking small wins every day 💪 #JavaScript #MachineLearning #Rise365
Day 99 of #100DaysOfCode At long last, my new website is live! amypeniston.com If there's one thing I've learned from these 100 days it's that if you wait until something is perfect, you'll never release anything. Just release it. #WomenWhoCode #100DaysOfMLCode #WebDev
Day 82 of #100DaysOfCode Reviewed popular clustering techniques in preparation for diving into an exoplanet dataset on Kaggle. Studies ended abruptly when my quarantine buddy arrived and demanded attention 😋 #WomenWhoCode #100DaysOfMLCode
Day 9 of #100DaysOfCode Today I improved two of my past projects HTML-CSS Mini Projects site – CSS, responsiveness, favicon & better previews HTML, CSS & JS Projects site – same updates! Both are perfect for beginners. Check them out on GitHub if you find them helpful!
When you're preparing for technical interviews, you should solidify your knowledge of algorithms & data structures. And many devs use LeetCode to help them practice and study. In this course, you'll work through the Neetcode 150 – the 150 most essential LeetCode problems – to…
#100DaysOfCyberSecurity Day 30 of my 100 days into Cybersecurity Productive Sunday away from the screen ❤️ @elormkdaniel @ireteeh @mcloxyventures @BowTiedCyber @TemitopeSobulo
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Day 40/100 #100DaysOfCode - Spent hours working on Yumly today, still haven’t fixed that stubborn error, and it’s starting to get frustrating 😩 - Also went through all the LeetCode questions I solved earlier this week #BuildInPublic #WebDev
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Welcome to Day15 of #100DaysOfMLCode Topic covered today: 1) Error Analysis 2) Transfer Learning Also did 2 SQL BASIC Problems on Leetcode Time To Do It Again Tomorrow #ExitPoll #ExitPoll #LoksabhaElection2024
Day 20, 21, 22,23 doing a transfer learning on previously created model. Basically created a dataset on which parameters of other model are been copied. this was done by freezing the base level of our model and updating the classifier layer. #100daysofdev #100daysofMLcode
Day 88 of #100DaysOfMLCode 1.Learnt abt techniques related to handling imbalance data 2.Understood abt the ROC curve for classification 3.Revised some of the algos 4.Solved dfs in a graph #100DaysOfCode
Day 87 of #100DaysOfMLCode 1.Understood about the XGBoost in detail with its mathematical formulation 2.Understood abt DBSCAN algo too 3.Solved bfs in a graph #100DaysOfCode
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Day 89 of #100DaysOfMLCode Got up at 5 am today 1.Brief overview on deep learning,its history and its applications and computational aspects 2.Solved number of provinces Q 3.Gave a kaggle competition today. #100DaysOfCode
Day 88 of #100DaysOfMLCode 1.Learnt abt techniques related to handling imbalance data 2.Understood abt the ROC curve for classification 3.Revised some of the algos 4.Solved dfs in a graph #100DaysOfCode
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