Coder Baba

Hellow everyone 🎤 𝐂𝐨𝐦𝐩𝐚𝐧𝐲: Unlimit 𝐁𝐚𝐭𝐜𝐡: 2023/22/21 graduates only 𝐑𝐨𝐥𝐞: SDE (Frontend web Developer) 𝐄𝐱𝐩𝐞𝐜𝐭𝐞𝐝 𝐂𝐓𝐂: 18-22 LPA 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧: Gurgaon 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞: Freshers and 0–2 Years 𝐐𝐮𝐚𝐥𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧: B.Tech 𝐑𝐞𝐪𝐮𝐢𝐫𝐞𝐦𝐞𝐧𝐭𝐬: (i) Good knowledge of React.js and common frameworks (ii) Understanding and ability to use JS / Typescript, Redux / Saga, CSS-modules (iii) Knowledge of best development practices and production release experience (iv) Working knowledge of JIRA and Confluence systems 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐢𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: (i) Participation in designing architectural solutions (ii) Development of front-end solutions for the new company products, (iii) Implementation and support of an extended and customized interface (iv) Code Development and Conducting code review 𝐀𝐩𝐩𝐥𝐲 𝐡𝐞𝐫𝐞: https://lnkd.in/dBmsmeng 🔴 follow me for more updates

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✅ Become a Full Stack Developer for FREE: HTML → http://html.spec.whatwg.org/multipage/ CSS3 → http://web.dev/learn/css/ Javascript → http://LearnJavaScript.online React → http://reactjs.org Python → http://python.org Java → http://java67.com Ruby → http://gorails.com SQL → http://SQLbolt.com MongoDB → http://learn.mongodb.com AWS → http://aws.amazon.com/training Azure → http://learn.microsoft.com/en-us/training Git & GitHub → http://LearnGitBranching.js.org Google Cloud → http://cloud.google.com/edu

Front-end developer should master: ∟📂 HTML and CSS ∟📂 JavaScript ∟📂 Frameworks and Libraries ∟📂 Responsive Design ∟📂 Cross-Browser Compatibility ∟📂 Performance Optimization ∟📂 Accessibility ∟📂 Version Control ∟📂 Testing and Debugging ∟📂 Continuous Learning

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Machine learning introduction: https://youtube.com/watch?v=seG9J49bBYI Data science for Python: https://udemy.com/course/introduction-to-data-science-using-python/ Machine Learning on Google Cloud Specialization https://coursera.org/specializations/machine-learning-tensorflow-gcp Learn AI from Google: https://ai.google/education/ Data structures introduction: https://w3schools.in/data-structures/intro/ Data algorithms: https://programiz.com/dsa Sorting algorithms: https://toptal.com/developers/sorting-algorithms Tech interview cheat sheet: https://github.com/TSiege/Tech-Interview-Cheat-Sheet

Learn Web Programming and Web Technologies for Free 1. HTML http://w3schools.com 2. CSS http://web.dev/learn/css 3. JavaScript http://javascript.info 4. Git & GitHub http://git-scm.com 5. API https://rapidapi.com/learn 6. Python http://learnpython.org 7. SQL http://SQLbolt.com 8. React http://react-tutorial.app 9. Web3 https://learnweb3.io 10. Blockchain http://cryptozombies.io

15 Public APIs for Front-End Developers. 🐙 GitHub API 💳 Stripe API 🤖 Reddit API 📚 Wikipedia API 🎥 YouTube API 🌎 REST Countries API 👕 Shopify API 📂 OneDrive API 📦 Dropbox API 🚀 NASA API 🦠 VirusTotal API 👩 Genderize .io 🍔 Open food facts 💬 Slack API 📝 Trello API

10 Sites to Find FREE Cheat Sheets for Web Developers → devhints .​io → gitsheet .​wtf → overapi .​com → grid.​malven .​co → htmlreference .​io → cheat-sheets .org → cheatography .​com → htmlcheatsheet .​com → codehouse.vercel .app → developer-cheatsheets .​com

Apps to build to practice your HTML, CSS, and Javascript skills 📝 Quiz App ❌ TicTacToe 🔟 Calculator ⏰ Alarm Clock 📁 File Explorer 🐍 Snake Game 🎵 Music Player 🌐 Web Crawler 🔗 URL Shortener 🤖 Web Automator ❓ Files Rename Tool 🚅 Speed Typing Test 🔒 Password Generator

21 Youtube Channels for Web Developers👇 ✅ Academind ✅ Clever Programmer ✅ Codecourse ✅ Coder Coder ✅ DevTips ✅ DerekBanas ✅ FreeCodeCamp ✅ FlorinPop ✅ Google Developers ✅ Joseph Smith ✅ KevinPowell ✅ LearnCode academy ✅ LearnWebCode ✅ LevelUpTuts ✅ Programming with Mosh ✅ SteveGriffith ✅ TheNetNinja ✅ TheNewBoston ✅ TraversyMedia ✅ Treehouse ✅ WebDevSimplified ✅ CoderBaba

Javascript Tip 💡 4 ways to iterate over javascript object, you should know!

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👇👇👇 Library Project Last video out today https://youtu.be/odMoSUQ0i58

1. What is the difference between supervised learning and unsupervised learning? Give concrete examples. Supervised learning involves learning a function that maps an input to an output. For example, if I had a dataset with two variables, age (input) and height (output), I could implement a supervised learning model to predict the height of a person based on their age. Unlike supervised learning, unsupervised learning is used to draw inferences and find patterns from input data without references to labeled outcomes. A common use of unsupervised learning is grouping customers by purchasing behavior to find target markets. 2.How do you assess the statistical significance of an insight? Ans: You would perform hypothesis testing to determine statistical significance. First, you would state the null hypothesis and alternative hypothesis. Second, you would calculate the p-value, the probability of obtaining the observed results of a test assuming that the null hypothesis is true. Last, you would set the level of the significance (alpha) and if the p-value is less than the alpha, you would reject the null — in other words, the result is statistically significant. 3. What is the Law of Large Numbers? Ans: The Law of Large Numbers is a theory that states that as the number of trials increases, the average of the result will become closer to the expected value. Eg. flipping heads from fair coin 100,000 times should be closer to 0.5 than 100 times. 4.If a Company says that they want to double the number of ads in Newsfeed, how would you figure out if this is a good idea or not? Ans: You can perform an A/B test by splitting the users into two groups: a control group with the normal number of ads and a test group with double the number of ads. Then you would choose the metric to define what a “good idea” is. For example, we can say that the null hypothesis is that doubling the number of ads will reduce the time spent on Facebook and the alternative hypothesis is that doubling the number of ads won’t have any impact on the time spent on Facebook. However, you can choose a different metric like the number of active users or the churn rate. Then you would conduct the test and determine the statistical significance of the test to reject or not reject the null. FOLLOW @coder_baba