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.
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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
👍1
Library_Project_in_aspdotnet_Part_20_source_code_By_CoderBaba.rar
44.3 MB
Library Project in asp .net Part 20 complete source code👆👆
17 sites that offer remote jobs that pay in dollars.
💰dice .co
💰remote .co
💰devsnap .io
💰remotive .io
💰remoteok .io
💰flexjobs .com
💰upwork .com
💰whoishiring .io
💰justremote .co
💰remotefront .io
💰wellfound .com
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💰skipthedrive .com
💰authenticjobs .com
💰workingnomads .co
💰virtualvocations. com
💰weworkremotely. com
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💰dice .co
💰remote .co
💰devsnap .io
💰remotive .io
💰remoteok .io
💰flexjobs .com
💰upwork .com
💰whoishiring .io
💰justremote .co
💰remotefront .io
💰wellfound .com
💰powertofly .com
💰skipthedrive .com
💰authenticjobs .com
💰workingnomads .co
💰virtualvocations. com
💰weworkremotely. com
follow @coder_baba
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
✅ 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
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
📝 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
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
→ devhints .io
→ gitsheet .wtf
→ overapi .com
→ grid.malven .co
→ htmlreference .io
→ cheat-sheets .org
→ cheatography .com
→ htmlcheatsheet .com
→ codehouse.vercel .app
→ developer-cheatsheets .com
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
🐙 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
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
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
W3Schools
W3Schools offers free online tutorials, references and exercises in all the major languages of the web. Covering popular subjects like HTML, CSS, JavaScript, Python, SQL, Java, and many, many more.
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
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
YouTube
Machine Learning Introduction | Machine Learning Tutorial | Simplilearn
🔥Artificial Intelligence Engineer (IBM) - https://www.simplilearn.com/masters-in-artificial-intelligence?utm_campaign=seG9J49bBYI&utm_medium=DescriptionFirstFold&utm_source=Youtube
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www…
🔥Purdue - Post Graduate Program in AI and Machine Learning - https://www…
Top 10 FREE courses to learn SQL in 2023,
-- Free Certificates --
❯ DBMS, SQL
http://learn.saylor.org/course/view.php?id=93
❯ SQL
http://openclassrooms.com/en/courses/2071486-retrieve-data-using-sql
❯ MySQL
http://coursera.org/learn/database-structures-and-management-with-mysql
* Paid Certificate
❯ SQL Server
http://learn.microsoft.com/training/paths/program-transact-sql/
* Free Badge
❯ PostgreSQL
http://coursera.org/specializations/postgresql-for-everybody
* Paid Certificate
❯ Oracle
http://mygreatlearning.com/academy/learn-for-free/courses/oracle-sql
❯ RDBMS, SQL
http://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql
* Paid Certificate
❯ RDBMS, SQL
http://udacity.com/course/database-systems-concepts-design--ud150
* No Certificate
❯ PostgreSQL
http://freecodecamp.org/learn/relational-database/
❯ Big Query
http://kaggle.com/learn/intro-to
-- Free Certificates --
❯ DBMS, SQL
http://learn.saylor.org/course/view.php?id=93
❯ SQL
http://openclassrooms.com/en/courses/2071486-retrieve-data-using-sql
❯ MySQL
http://coursera.org/learn/database-structures-and-management-with-mysql
* Paid Certificate
❯ SQL Server
http://learn.microsoft.com/training/paths/program-transact-sql/
* Free Badge
❯ PostgreSQL
http://coursera.org/specializations/postgresql-for-everybody
* Paid Certificate
❯ Oracle
http://mygreatlearning.com/academy/learn-for-free/courses/oracle-sql
❯ RDBMS, SQL
http://online.stanford.edu/courses/soe-ydatabases0005-databases-relational-databases-and-sql
* Paid Certificate
❯ RDBMS, SQL
http://udacity.com/course/database-systems-concepts-design--ud150
* No Certificate
❯ PostgreSQL
http://freecodecamp.org/learn/relational-database/
❯ Big Query
http://kaggle.com/learn/intro-to
GPT-4 is Remarkable.
Don't miss these 5 AI Tools:
1. Save 100+ hrs w/ Templates.
http://blaze.today
2. Websites in 30 Seconds.
http://10web.io
3. Text-to-speech.
http://lovo.ai
4. Meeting.
http://tldv.io
5. Branding.
http://looka.com
Don't miss these 5 AI Tools:
1. Save 100+ hrs w/ Templates.
http://blaze.today
2. Websites in 30 Seconds.
http://10web.io
3. Text-to-speech.
http://lovo.ai
4. Meeting.
http://tldv.io
5. Branding.
http://looka.com
blaze.today
Text Blaze
A powerful text expander Chrome extension. Optimize everything you type with auto text snippets, templates and macros.
Top 10 FREE Sites for Online Courses With Certificates for Higher Skills
💻Higher Skills = Higher Pay:💰
1️⃣Alison
2️⃣UpGrad
3️⃣Coursera
4️⃣Open SAP
5️⃣JobPrepped
6️⃣SCRUMstudy
7️⃣Saylor Academy
8️⃣Google Analytics Academy
9️⃣Oxford Home Study Centre
🔟AWS Training and Certifications
📚Learn for FREE in 2023
💻Higher Skills = Higher Pay:💰
1️⃣Alison
2️⃣UpGrad
3️⃣Coursera
4️⃣Open SAP
5️⃣JobPrepped
6️⃣SCRUMstudy
7️⃣Saylor Academy
8️⃣Google Analytics Academy
9️⃣Oxford Home Study Centre
🔟AWS Training and Certifications
📚Learn for FREE in 2023
👉🏻There are free AI🚀 versions of your favorite apps. Here are the ones I use almost every day:
1️⃣Excel → Google Sheets AI
2️⃣Word → Google Docs AI
3️⃣Google Search → Bard / Bing
4️⃣Canva → Microsoft Designer
5️⃣Gmail → Gmail AI
6️⃣Google Translate → DeepL
7️⃣Illustrator → Bing Image Creator
8️⃣Everything else → ChatGPT
These tools save a lot of time, so don't hesitate to give them a try.
1️⃣Excel → Google Sheets AI
2️⃣Word → Google Docs AI
3️⃣Google Search → Bard / Bing
4️⃣Canva → Microsoft Designer
5️⃣Gmail → Gmail AI
6️⃣Google Translate → DeepL
7️⃣Illustrator → Bing Image Creator
8️⃣Everything else → ChatGPT
These tools save a lot of time, so don't hesitate to give them a try.
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
∟📂 HTML and CSS
∟📂 JavaScript
∟📂 Frameworks and Libraries
∟📂 Responsive Design
∟📂 Cross-Browser Compatibility
∟📂 Performance Optimization
∟📂 Accessibility
∟📂 Version Control
∟📂 Testing and Debugging
∟📂 Continuous Learning
✅ 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
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
web.dev
Learn CSS | web.dev
An evergreen CSS course and reference to level up your web styling expertise.
Hello Everyone,
If you haven't yet followed us on Instagram then please do follow us for coding and tech related information and free resources !
Here's the link 🔗 https://www.instagram.com/coderbaba
If you haven't yet followed us on Instagram then please do follow us for coding and tech related information and free resources !
Here's the link 🔗 https://www.instagram.com/coderbaba
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
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
lnkd.in
LinkedIn
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