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2 911
This is a class from Harvard University:
"Introduction to Data Science with Python."
It's free. You should be familiar with Python to take this course.
The course is for beginners. It's for those who want to build a fundamental understanding of machine learning and artificial intelligence.
It covers some of these topics:
• Generalization and overfitting
• Model building, regularization, and evaluation
• Linear and logistic regression models
• k-Nearest Neighbor
• Scikit-Learn, NumPy, Pandas, and Matplotlib
Link: https://pll.harvard.edu/course/introduction-data-science-python
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Placement Preparation for 100+ companies
https://drive.google.com/drive/mobile/folders/1SkCOcAS0Kqvuz-MJkkjbFr1GSue6Ms6m
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🌟 𝗜𝗻𝘁𝗿𝗼𝗱𝘂𝗰𝗶𝗻𝗴 𝟰𝟳 𝗖𝗮𝗿𝗲𝗳𝘂𝗹𝗹𝘆 𝗖𝘂𝗿𝗮𝘁𝗲𝗱 𝗖𝗵𝗲𝗮𝘁𝘀𝗵𝗲𝗲𝘁𝘀 𝗬𝗼𝘂'𝗹𝗹 𝗘𝘃𝗲𝗿 𝗡𝗲𝗲𝗱! 📚
1. Python : https://lnkd.in/grD8XUS6
2. Pandas : https://lnkd.in/g4yTJ7CP
3. NumPy : https://lnkd.in/gg9Uw-km
4. Matplotlib https://lnkd.in/gahrGicD
5. Seaborn https://lnkd.in/gcu4UKpw
6. Scikit-learn https://lnkd.in/gGfkNu5i
7. TensorFlow : https://lnkd.in/g3fw3uRV
8. Keras : https://lnkd.in/gfPTfbgg
9. PyTorch https://bit.ly/3lnsiIz
10. SQL : https://lnkd.in/gnwe4qcb
11. R : https://lnkd.in/gEgJ6A8j
12. Git : https://lnkd.in/gyzhztvH
13. AWS https://bit.ly/3ZQWMS1
14. Azure https://bit.ly/42f4N4V
15. Google Cloud Platform : https://bit.ly/3JJADzv
16. Docker : https://bit.ly/3Lt2zJe
17. Kubernetes https://lnkd.in/gjXCT7Mb
18. Linux Command Line : https://bit.ly/3FtcTgw
19. Jupyter Notebook https://lnkd.in/g7cPmgHQ
20. Data Wrangling :https://bit.ly/3TiMibP
21. Data Visualization : https://lnkd.in/gQ52Jd_J
22. Statistical Inference https://lnkd.in/grNXVQh5
23. Probability : https://lnkd.in/gvnWCphc
24. Linear Algebra : https://lnkd.in/gty6XpVF
25. Calculus https://lnkd.in/gjhsmsxu
26. Time Series : https://bit.ly/3Fvuep4
27. NLP: https://bit.ly/3Fvursm
28. Neural Network : https://lnkd.in/gThs2AAp
29. Deep Learning : https://lnkd.in/gVbSPae2
30. Machine Learning : https://bit.ly/3mZ5Wh3
31. Apache Spark : https://lnkd.in/ge7Rj-Yr
32. Hadoop : https://bit.ly/3Lq34DR
33. Big-O Notation t: https://lnkd.in/gfYqM8WU
34. Regular Expression : https://lnkd.in/gE9kZTZW
35. Unix/Linux Permissions https://bit.ly/3ZUfwA8
36. Python String Formatting https://lnkd.in/gHi26Uk2
37. Flask : https://lnkd.in/gGzbSTgU
38. Django : https://lnkd.in/grZcWz8y
39. SQL : https://lnkd.in/gyierV3f
40. PostgreSQL : https://lnkd.in/gzfiW7zB
41. MySQL: https://lnkd.in/g4JnPVTe
42. MongoDB : https://lnkd.in/gHc4F4ER
43. TensorFlow Probability Cheat Sheet: https://lnkd.in/gr3bgDGP
44. OpenAI GPT-3 Documentation: https://lnkd.in/gawB_SC9
45. GPT-3 API Reference: https://lnkd.in/gtCGZvX8
46. GPT-3 GitHub Repository: https://lnkd.in/g56cQQPD
47. Chat GPT Cheat Sheet : https://lnkd.in/e43cDB9q
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6 Steps to Learn Front-End Development 🚀
Step 1: Basics
— Browser
— WWW
— Internet
— DNS
— HTTP & HTTPS
— Browser
— Domain & Hosting
Step 2: HTML
— Basic Tags
— Meta Tags
— Semantic HTML
— HTML Attributes
— Forms & Table
Step 3: CSS
— Basics of CSS
— CSS Selectors
— Selector Specificity
— Box Model
— Creating Layouts
— Flexbox
— Grid
— Position - Relative & Absolute
— CSS Units
— Responsive Web Design
— Transition & Animation
— CSS Variable
— Filter & Clip-path
Step 4: JavaScript
— Basics Syntax
— Loops
— Functions
— Scope
— Data Types, Array, Object
— DOM Manipulation
— JS Module - Export & Import
— Spread & Rest Operator
— The this keyword
— Event Handling
— Callbacks
— Asynchronous JavaScript
— Fetching API
— ES6 Features
— Event Loop
— Prototype
— ES6 Features
— Web APIs
Step 5: Git and GitHub
— Basic Terminologies
— Basic Commands
— Fork
— Repository
— Pull Repo
— Pull Request
— Push Repo
— Locally Work With Git
— Undo Changes
— Branching & Merging
Step 6: React
— Why React
— JSX
— Components
— Props & State
— List & Keys
— Conditional Rendering
— Event Handling
— Effects
— useState Hook
— useEffect Hook
— useReducer Hook
— useContext Hook
— useRef Hook
— CSS Module
— React Router
— Redux
— Performance Optimization
Now apply for the job. All the best. 🚀
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🔗 https://www.instagram.com/channel/AbZGku1JlrBWmBIm/
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The latest data science courses from leading universities in the world such as Stanford, MIT and Berkeley.
And over 300+ terabytes of data science courses for experienced data scientists.
https://drive.google.com/drive/folders/1CgN7DE3pNRNh_4BA_zrrMLqWz6KquwuD?usp=sharing
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1- 2024's Funded Startup List
https://atozplacementkit.substack.com/p/2024s-funded-startup-list
2- 𝐋𝐢𝐬𝐭 𝐨𝐟 𝐅𝐮𝐧𝐝𝐞𝐝 𝐒𝐭𝐚𝐫𝐭𝐮𝐩𝐬 𝐢𝐧 𝐁𝐚𝐧𝐠𝐚𝐥𝐨𝐫𝐞 𝐅𝐨𝐫 𝟐𝟎𝟐𝟒
https://atozplacementkit.substack.com/p/025
3- Hyderabad Startup List!
https://atozplacementkit.substack.com/p/hyderabad-startup-list
4- Gurgaon Startup List for Job Search
https://atozplacementkit.substack.com/p/gurgaon-startup-list-for-job-search
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MERN stack intern (backend focus: NodeJS) to join us for 3 months starting 15th July.
- prior experience building projects on NodeJS
- Work from office in Gurgaon
- Rs. 10K monthly stipend
If this is you, please reach out to me at garima@sploot.tech
[
https://boards.greenhouse.io/bottomlinetechnologies/jobs/7498875002?gh_src=e1c2a8322us
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Company name: Enterpret
Role: SDE Intern - Backend Engineering
Batch Eligible: 2024 & 2025 passouts
Expected Stipend: INR 1 Lakh per month
Internship Duration: 4-6 months
Location: Remote/ Bangalore
Job Description: https://enterpret.notion.site/Backend-Engineering-Intern-2024-ed1937da51564cbba2c8b21965798042
Join my Telegram & Whatsapp Groups for Quick instant Jobs and Internships Updates
https://linktr.ee/jobs_and_internships_updates
Share with your Friends too
Apply Link: https://bit.ly/3VAqgTn
Note: PPO (for pre-final year) and Full-Time conversion (for final year/graduated) would be provided based on performance
Do share this with your Friends too
