Harini-Pavithra / Resources

A collection of technical resources

Resources

AI

1. MLOps platform: http://wandb.com/

2. Custom-charts: https://wandb.ai/fully-connected/blog/custom-charts

3. Research papers: https://paperswithcode.com/

4. Datasets: https://datasetsearch.research.google.com/

5. Deep Learning: https://d2l.ai

6. ML Free course: https://developers.google.com/machine-learning/crash-course/ml-intro

7. Deep learning to translate between programming languages: https://ai.facebook.com/blog/deep-learning-to-translate-between-programming-languages/

8. Data Science Grand master series: https://www.youtube.com/playlist?list=PL5B692fm6--uXbxtmPJz5nu3Xmc1JUm3F

9. Here are 5 repositories that will help everyone to get started with hands-on projects:

   • ⚒ Workshops.aws (free)
   • 🖥 wellarchitectedlabs.com (free)
   • ☁️ awsworkshop.io (free)
   • 🚀cloudacademy.com (not free)
   • 😻 github.com/aws-samples (free)

10. Data Science Video Series to get started with Machine Learning on Azure : https://medium.com/microsoftazure/data-science-video-series-to-get-started-with-machine-learning-on-azure-28d7c67b02eb

11. Machine Learning Algorithms: Which One to Choose for Your Problem? https://dzone.com/articles/machine-learning-algorithms-which-one-to-choose-fo

12. Train-Test Split for Evaluating Machine Learning Algorithms : https://machinelearningmastery.com/train-test-split-for-evaluating-machine-learning-algorithms/

13. Machine Learning Mastery Free Book : https://machinelearningmastery.com/

14. 21 Machine Learning Interview Questions and Answers : https://elitedatascience.com/machine-learning-interview-questions-answers

15. Deep Learning with Azure: Building and Deploying Artificial Intelligence Solutions on the Microsoft AI Book: https://www.pdfdrive.com/deep-learning-with-azure-building-and-deploying-artificial-intelligence-solutions-on-the-microsoft-ai-platform-e187203976.html

16. Build and operate machine learning solutions with Azure Machine Learning: https://docs.microsoft.com/en-us/learn/paths/build-ai-solutions-with-azure-ml-service/

17. Work with Data in Azure Machine Learning: https://docs.microsoft.com/en-us/learn/modules/work-with-data-in-aml/

18. Data in Azure Machine Learning: https://docs.microsoft.com/en-us/azure/machine-learning/concept-data#access-data-in-storage

19. 26daysofConcepts: https://drive.google.com/file/d/1gZdEJe_GpIQ6SeQf7HuYg01_Y3P72Yeu/view

20. Define and implement cutting-edge AI solutions: https://docs.microsoft.com/en-us/learn/roles/ai-engineer

21. Exam AI-900: Microsoft Azure AI Fundamentals : https://docs.microsoft.com/en-us/certifications/exams/ai-900?tab=tab-learning-paths

22. Learn about all the notebooks experiences from Microsoft and GitHub : https://visualstudio.microsoft.com/vs/features/notebooks-at-microsoft/

23. AI for Students: https://ms.cloudthat.com/aiforstudents/

24. Microsoft Azure Pass Subscription: https://www.microsoftazurepass.com/Home/HowTo

25. Microsoft Azure AI Fundamentals: Explore visual tools for machine learning: https://docs.microsoft.com/en-us/learn/paths/create-no-code-predictive-models-azure-machine-learning/

26. Microsoft Learning DP100 Exam Preparation: https://github.com/MicrosoftLearning/DP100

27. ML Basics: https://github.com/MicrosoftDocs/ml-basics

28. Create machine learning models: https://docs.microsoft.com/en-us/learn/paths/create-machine-learn-models/

29. AI Fundamentals: https://github.com/MicrosoftDocs/ai-fundamentals

30. For more details about the course outline, Sample Questions, Online –free Training and hands-on lab:- https://docs.microsoft.com/en-us/learn/certifications/exams/ai-900

31. AI Fundamentals: https://github.com/MicrosoftDocs/ai-fundamentals

32. Use Computer Vision to generate image metadata in Azure Storage: https://docs.microsoft.com/en-us/azure/cognitive-services/computer-vision/tutorials/storage-lab-tutorial

33. Exam DP-203: Data Engineering on Microsoft Azure: https://docs.microsoft.com/en-us/certifications/exams/dp-203?source=learn

34. Exam DP-200: Implementing an Azure Data Solution: https://docs.microsoft.com/en-us/certifications/exams/dp-200

35. Exam DP-201: Designing an Azure Data Solution: https://docs.microsoft.com/en-us/certifications/exams/dp-201

36. 🗒 #30DaysToLearnIt Challenge: https://developer.microsoft.com/en-us/offers/30-days-to-learn-it

37. Azure Synapse Analytics: https://docs.microsoft.com/en-us/learn/challenges?id=3d6cb3b9-f4b7-4d7b-ab23-57faa1762705

38. Azure Stream Analytics documentation: https://docs.microsoft.com/en-us/azure/stream-analytics/

39. Azure Databricks documentation: https://docs.microsoft.com/en-us/azure/databricks/

40. Azure Synapse Analytics: https://docs.microsoft.com/en-us/azure/synapse-analytics/

41. Azure SQL documentation: https://docs.microsoft.com/en-us/azure/azure-sql/?view=azuresql

42. AIEngineering youtube channel: https://www.youtube.com/c/AIEngineeringLife

43. Google Skill Challenges: https://www.cloudskillsboost.google/?utm_source=inthecloud&utm_medium=et&utm_campaign=FY22-gcm-campaign-redirect&utm_content=gcmredirect&utm_term=-

44. Text to Code: https://github.com/deepklarity/jupyter-text2code

45. ML Resources: https://sgfin.github.io/learning-resources/?fbclid=IwAR1mdvyzKHj4Z1jvBKsZTzpZiDwDO8wRmAruv69p_1I223WizSuwqhVy9fE#causal

46. Introduction to Machine Learning with scikit-learn: https://courses.dataschool.io/introduction-to-machine-learning-with-scikit-learn

47. Start AI in 2022 — Become an expert from nothing, for free!: https://www.louisbouchard.ai/learnai/

48. Resources Post:

    • Data Science Skill Checklist https://lnkd.in/e2KR3qm
    • Master Machine Learning Algorithms https://lnkd.in/eewDyUE
    • Step by Step Guide to Data Cleaning in Pandas https://lnkd.in/eyfWKsi
    • Complete SQL Ebook https://lnkd.in/epkMQEm
    • 101 NLP Exercises https://lnkd.in/e65DvZP

49. Kaggle

    • Tricks: https://www.dataquest.io/blog/kaggle-tips-tricks/
    • Kaggle Progression System: https://www.kaggle.com/progression
    • Udacity Kaggle Webinar: https://drive.google.com/file/d/1v6F1WsjoID_04qIwApc2yy8GdmVb3xUT/view

50. PyTourch: https://github.com/ternaus/retinaface

51. Face Detection Example: https://colab.research.google.com/drive/1wLXZyoybDRKizfcIzxPwkeYp-XDpTM-K#scrollTo=ugUkN6eqYMwc

52. Translating Kaggle Into Your Professional Workflow : https://info.nvidia.com/translating-kaggle-into-you-professional-workflow-reg-page.html?ondemandrgt=yes#

53. Udacity Study Jam: https://drive.google.com/file/d/11Lyrrk5bFhTJLQ-jSUZJi2uY67GvL-rz/view

54. No code ML platforms: https://www.youtube.com/watch?v=T-BRBTwhM3M

55. ML Resources: https://github.com/HeLsEroC/awesome-resources

56. Bertelsmann AI Track Resources: https://airtable.com/shrkZQirGiyfdi9pG/tbltMRekRoCX9jOuZ

57. Live ML course: https://github.com/roboticcam/machine-learning-notes?fbclid=IwAR0wUVCDpWUMTrlNuBEzwYA9n0dNk7m2hFi6g-_yonSfw9Jh-Jn9Huua-mY

58. Advance your career with AI and Machine Learning: https://content.techgig.com/upskilling-at-techgig/advance-your-career-with-ai-and-machine-learning/articleshow/84474732.cms

59. Machine Learning Glossary: https://developers.google.com/machine-learning/glossary

60. ML Roadmap: https://whimsical.com/machine-learning-roadmap-2020-CA7f3ykvXpnJ9Az32vYXva

61. DS and ML books: https://acems.org.au/data-science-machine-learning-book-available-download

62. ML with R: https://courses.cognitiveclass.ai/courses/course-v1:BigDataUniversity+ML0151EN+2017/course/

63. 30DaysOfML: https://www.kaggle.com/thirty-days-of-ml

64. AWS Re-Invent: https://reinvent.awsevents.com/register/?trk=direct

65. Grow your ML skills with free offer from Coursera: https://cloud.google.com/blog/products/ai-machine-learning/google-cloud-launches-ml-academy-with-free-training?utm_source=linkedin&utm_medium=unpaidsoc&utm_campaign=fy21q3-googlecloud-blog-ai-infeed-no&utm_content=-&utm_term=-

66. ML Zoomcamp: https://docs.google.com/document/d/e/2PACX-1vQUHn2ao5YbGgvDiKJup6VXfzFqEGWm7wJGqgVTn1xUignN1doTuzHWmg5HbdselVbjbSkOdb43Ktmp/pub

67. 100+ ML snd DL Blogs: https://www.theinsaneapp.com/2021/04/top-machine-learning-blogs-to-follow-in-2021.html

68. Free E-books: https://www.kdnuggets.com/2020/12/15-free-data-science-machine-learning-statistics-ebooks-2021.html

69. ML Books PDF: https://www.theinsaneapp.com/2020/11/free-machine-learning-data-science-and-python-books.html

70. 100+ ML Cheatsheets: https://www.theinsaneapp.com/2020/12/machine-learning-and-data-science-cheat-sheets-pdf.html

71. AI Conclave: https://analyticsdrift.com/amazon-web-services-aws-is-hosting-a-free-ai-conclave/?fbclid=IwAR0gla_H4SL9ff9Vej_2h26ivNOG9_TjrFfZzE1u9syoymgtj6R8hMETZW4

72. CNN Explainer: https://poloclub.github.io/cnn-explainer/

73. Dynamic Optimization: https://apmonitor.com/do/

74. The Incredible Pytorch: https://github.com/ritchieng/the-incredible-pytorch

75. Computer Vision : https://blog.roboflow.com/intro-to-computer-vision/

76. 18 Machine Learning Best Practices: https://rubikscode.net/2021/10/18/18-machine-learning-best-practices/

77. Tic Tac Toe: https://github.com/GantMan/tictactoe-ai-tfjs (https://www.tensorflowtictactoe.co/)

78. ML Zoomcamp: https://datatalks.club/courses/2021-winter-ml-zoomcamp.html

79. ML Bookcamp: https://github.com/alexeygrigorev/mlbookcamp-code

80. AI and ML projects with code: https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code

81. AI papers: https://github.com/louisfb01/Best_AI_paper_2020

82. Speech and Language Processing: http://web.stanford.edu/~jurafsky/slp3/

83. Math for ML: https://mml-book.github.io/book/mml-book.pdf

84. ML Bookcamp Homeworks: https://github.com/ayoub-berdeddouch/mlbookcamp-homeworks

85. ML Crash course: https://developers.google.com/machine-learning/crash-course

86. Statistical learning posts: https://docs.google.com/document/d/1aMTVwBV4RmxOAroScHtpcb6sY4gi_XXL1i2gqVlgiSo/mobilebasic

87. Scholarship notes:

    • https://drive.google.com/drive/folders/1gvCSgTYc72sDOMd9FmMrX2_qXgmNxqT1
    • https://www.notion.so/Microsoft-Azure-Machine-Learning-Foundation-Course-Study-Resources-9633185de9984dcc9bd0cfe31e69b59a
    • https://github.com/solliancenet/udacity-intro-to-ml-labs
    • https://drive.google.com/file/d/1sZ8V3r-ecwK5w1Gd6YSXBWZEDKxdry3M/view

88. 10 Books Data Scientists Should Read During Lockdown: https://towardsdatascience.com/10-books-data-scientists-should-read-during-lockdown-f49b68fad650

89. ML courses by Andrew NG: https://www.deeplearning.ai/courses/machine-learning-specialization/

90. ML Mastery: https://machinelearningmastery.com/

91. Learning from Data: https://work.caltech.edu/telecourse

92. ML University: https://www.youtube.com/channel/UC12LqyqTQYbXatYS9AA7Nuw/playlists

93. Python Library: https://github.com/d6t/d6tflow

94. DL with CV: https://www.youtube.com/playlist?list=PL5-TkQAfAZFbzxjBHtzdVCWE0Zbhomg7r

95. Intro to DL: http://introtodeeplearning.com/

96. Free Book on Ensemble Learning with Python: https://www.packtpub.com/free-learning

97. Chrome Dragon Game: https://datamahadev.com/creating-chrome-dragon-game-using-your-body-computer-vision/

98. Create Emojis using DL: https://data-flair.training/blogs/create-emoji-with-deep-learning/

99. AI community: https://huggingface.co/

100. AI fellowship program: https://insightfellows.com/ai

101. Microsoft Training days: https://www.microsoft.com/en-gb/events/training-days/#microsoft-azure

102. AI platform: https://insideaiml.com/job-assistance

103. AI Fellowship programs: https://towardsdatascience.com/top-ai-fellowship-programs-to-look-out-for-344af565824c

104. 100 days of ML: https://github.com/rohit077/100_Days_of_ML

105. Tensorflow Certification: https://themlco.com/tensorflow/

106. AWS certification: https://aws.amazon.com/training/?trk=ps_a134p000006vdeTAAQ&trkCampaign=GLBL-FY21-TrainCert-Combined_PaidSearch&sc_channel=PS&sc_campaign=FY21-TrainCert-Combined_PaidSearch&sc_publisher=Google&sc_category=Training%20and%20Certification&sc_country=CA&sc_geo=NAMER&sc_outcome=acq&sc_detail=aws%20training%20and%20certification&sc_content=Generic_exact&sc_matchtype=e&sc_segment=502617786875&sc_medium=TC-P%7CPS-GO%7CBrand%7CDesktop%7CAW%7CTraining%20and%20Certification%7CCombo%7CCA%7CEN%7CText%7Cxx%7CSEM%7CPMO20-00038&s_kwcid=AL!4422!3!502617786875!e!!g!!aws%20training%20and%20certification&s_kwcid=AL!4422!3!502617786875!e!!g!!aws%20training%20and%20certification&ef_id=Cj0KCQjw6-SDBhCMARIsAGbI7UjdXMChuEmUUD2-j8XnYXVklQdsT4KPqYV3lAxL3ww_fQUvs9fGmRoaAkdpEALw_wcB%3AG%3As&utm_source=Udacity&utm_medium=Webpage&utm_campaign=Udacity%20AWS%20ML%20Foundations%20Course

107. Haystack: https://github.com/deepset-ai/haystack

108. Solve Math Equations: https://yourstory.com/2020/07/microsoft-learning-app-ai-solve-math-equations-edtech/amp

109. AI Future: https://www.bbc.com/news/technology-53530454

110. ML course: https://developers.google.com/machine-learning/crash-course

111. For ML Competitions: https://shaz13.medium.com/rare-feature-engineering-techniques-for-machine-learning-competitions-de36c7bb418f

112. Self-driving Cars: https://bdtechtalks.com/2020/07/29/self-driving-tesla-car-deep-learning/

113. ML Algos: https://github.com/rushter/MLAlgorithms

114. DL project: https://github.com/sulc/tfrecord-viewer

115. NLP: https://m.youtube.com/watch?v=SzAmGg2TVBg&feature=youtu.be

116. Azure Data Factory: https://m.youtube.com/playlist?list=PLGjZwEtPN7j8b9dPA0HrtJDptOB69B506

117. Free Open source tool for messy data: https://openrefine.org/

118. AI and Algos: https://m.youtube.com/watch?v=s0dMTAQM4cw&feature=youtu.be

119. Math for ML: https://m.youtube.com/playlist?list=PLGLfVvz_LVvT8Ao7Le7p4LAedswe4c96U

120. ML recommendation: https://developers.google.com/machine-learning/recommendation

121. Model Transperency: https://ai.googleblog.com/2020/07/introducing-model-card-toolkit-for.html?m=1

122. Automated ML: https://learn.microsoft.com/en-us/azure/machine-learning/how-to-understand-automated-ml

123. ML Cheat-Sheet: https://learn.microsoft.com/en-us/azure/machine-learning/algorithm-cheat-sheet

124. Neural Networks: https://netron.app/

125. ML in 3 months: https://www.youtube.com/watch?v=Cr6VqTRO1v0&t=78s

126. Azure: https://www.youtube.com/watch?v=Jf0ZefMtgnE

127. Time Series Applications: https://www.knime.com/blog/building-a-time-series-analysis-application

128. Deep Learning: https://towardsdatascience.com/deep-learning-not-only-for-the-big-ones-bd16b019d5e8

129. GAN: https://realpython.com/generative-adversarial-networks/

130. CV: https://analyticsindiamag.com/why-is-computer-vision-hard-to-implement/

131. Google's ML Certificate: https://www.kdnuggets.com/2020/07/googles-new-machine-learning-certificate.html

132. Pytoruch Tutorial: https://m.youtube.com/watch?v=GIsg-ZUy0MY&feature=youtu.be

Coding and Data Structures

1. Codebar: https://codebar.io/
2. 30daysofcoding: https://www.blocktrain.info/
3. Code for Cause: https://codeforcause.org/courses
4. Exercise: https://exercism.org/
5. Coding Interview Prep for Big Tech (FAANG): https://www.freecodecamp.org/news/coding-interview-prep-for-big-tech/
6. 450 DSA questions: https://drive.google.com/file/d/1FMdN_OCfOI0iAeDlqswCiC2DZzD4nPsb/view
7. 75 Leetcode problems: https://docs.google.com/spreadsheets/d/1A2PaQKcdwO_lwxz9bAnxXnIQayCouZP6d-ENrBz_NXc/htmlview
8. DSA sheet 45 days: https://docs.google.com/spreadsheets/d/1MGVBJ8HkRbCnU6EQASjJKCqQE8BWng4qgL0n3vCVOxE/htmlview#gid=0
9. SDE sheet: https://takeuforward.org/interviews/strivers-sde-sheet-top-coding-interview-problems/
10. 30DaysOfCoding: https://github.com/30DaysOfCoding
11. Concepts to understand: procedural decomposition, stepwise refinement, top down design.
12. Advent of Code: https://adventofcode.com/2020
13. Lead coding: https://leadcoding.in/
14. The Algorithms: https://github.com/TheAlgorithms
15. Free Programming Books: https://github.com/EbookFoundation/free-programming-books
16. Complete Introduction to the 30 Most Essential Data Structures & Algorithms: https://dev.to/iuliagroza/complete-introduction-to-the-30-most-essential-data-structures-algorithms-43kd
17. Data Structures & Algorithms in Python: https://towardsdatascience.com/data-structures-algorithms-in-python-68c8dbb19c90
18. 8 Common Data Structures Every Programmer Should Know: https://towardsdatascience.com/8-common-data-structures-every-programmer-must-know-171acf6a1a42
19. An Introduction to Big O in Swift: https://www.donnywals.com/an-introduction-to-big-o-in-swift/
20. Learn DS and Algorithms: https://www.programiz.com/dsa
21. Complete Beginner’s Guide to Big O Notation: https://www.youtube.com/watch?v=kS_gr2_-ws8
22. Common Python Data Structures: https://realpython.com/python-data-structures/
23. The Open Sources Computer Science Degree: https://github.com/raywenderlich/swift-algorithm-club
24. Intro to Dynamic Programming: Data Structures and Algorithms - https://lnkd.in/g5ZMds-W
25. Problem Solving with DSA using Python - https://lnkd.in/gNkfiC_Y
26. Data Structures Easy to Advanced Course - https://lnkd.in/gCBcXv3H
27. System Design Interview: Step by Step Guide - https://lnkd.in/gBPxnmiD
28. CS50 course - https://lnkd.in/geJ_r7gr
29. Practice websites
    • https://lnkd.in/gdimkcTq
    • https://lnkd.in/gDzvBAbK
    • https://coderbyte.com/
    • https://leetcode.com/
    • http://www.codewars.com/
    • https://www.pramp.com/
30. DSA Sheets
    • 65 days by Siddharth Singh : Best for structured learning (https://lnkd.in/dvDiX3hx)
    • Leetcode Sheet by Fraz : Best set of problems for Leetcode (https://lnkd.in/dp4pU8mK)
    • SDE Sheet by Raj Vikramaditya : Everyone knows this, so added on 3rd number :P (https://lnkd.in/dM3HC9NH)
    • DSA Cracker by Love Babbar : Exhaustive set of problems. (https://lnkd.in/dRMyJTU)
31. 30DaysOfCoding: https://www.30dayscoding.com/
32. A2Z coding sheet: https://takeuforward.org/strivers-a2z-dsa-course/strivers-a2z-dsa-course-sheet-2/
33. Coding practice for interviews: https://docs.google.com/document/d/1bvrEwJfwSjV5Wbt8nvTDr6eXx76Nw12kd33ly-ePyxk/mobilebasic
34. Leetcode premium questions: https://github.com/imsubhamsingh/leetcode-premium

Computer Science

1. Entire Computer Science Curriculum in 1000 YouTube Videos: https://laconicml.com/computer-science-curriculum-youtube-videos/
2. CS Lectures: https://github.com/Developer-Y/cs-video-courses
3. Katacode: https://www.oreilly.com/online-learning/leveraging-katacoda-technology.html

Content Creation

1. Keyword Search: https://lsigraph.com/deal/

Cybersecurity

1. Advent of Cyber 3: https://tryhackme.com/room/adventofcyber3

Data Science

1. Learn Data Science in 6 Steps with these 12 Awesome “Free” YouTube Courses:

   • 1.1 Statistics: Khan Academy on YouTube: https://lnkd.in/gBgs3Rh
   • 1.2 Probability:Khan Academy on YouTube: https://lnkd.in/grJ2FK4
   • 1.3 Linear Algebra: Khan Academy on YouTube: https://lnkd.in/gQbQscg
   • 1.4 Computer Programming:
     • Python Basics 1: https://lnkd.in/guvzxPH
     • Python Basics 2: https://lnkd.in/gqrdNfH
     • Python by Datacamp on YouTube: https://lnkd.in/ggzyPeY
     • R by Datacamp on YouTube: https://lnkd.in/gRGTUPi
   • 1.5 Machine Learning: Andrew Ng: https://lnkd.in/gJbvMdU and Stanford CS 229: https://lnkd.in/gb6arvb
   • 1.6 Deep Learning
     • DeepLearning.ai on YouTube: https://lnkd.in/ges2xZ2
     • Stanford CS230: https://lnkd.in/ghDFV6D
     • Google on YouTube: https://lnkd.in/gQpQsks

2. 10 Awesome Data Science Courses to make you an Awesome Data Scientist

   • 2.1 Python - University of Michigan: https://lnkd.in/gGe6zmD
   • 2.2 Statistics and Probability - Khan Academy: https://lnkd.in/gBgs3Rh
   • 2.3 Linear Algebra for ML - Imperial College London: https://lnkd.in/g6AVMCM
   • 2.4 Calculus for ML - Imperial College London: https://lnkd.in/ghMq5bu
   • 2.5 Machine Learning - Andrew Ng: https://lnkd.in/gNpkVAg
   • 2.6 Deep Learning - DeepLearning.ai: https://lnkd.in/gksK47H
   • 2.7 Tensorflow - Google: https://lnkd.in/gyFMT_n
   • 2.8 Data Science - IBM: https://lnkd.in/gKcATmF
   • 2.9 Data Science - Johns Hopkins University: https://lnkd.in/gAmaVhB
   • 2.10 Artificial Intelligence - Andrew Ng: https://lnkd.in/gWfK4qa

3. Data Science Tutorials: https://data-flair.training/blogs/data-science-tutorials-home/?fbclid=IwAR3YgskTqHNpKnr3p1MOL9iofl4fROXqV12RRvpT1XHn-KsPBwdtO8V3ZR0

4. Summer challenge: https://www.datacamp.com/summerchallenge

5. 100+ Data Science books: https://www.theinsaneapp.com/2020/12/free-data-science-books-pdf.html

6. Top Data Science Projects: https://technologynous.com/top-7-data-science-projects-to-put-on-your-resume-2020/?fbclid=IwAR3v4RVKiNsswXcvDo4K31KS8VLaXJAbemMvre8BM3cxChJc_QWz_cUcPPk

7. Data Science: https://github.com/ossu/data-science

8. 6 essential skills for a data scientist with resources:

   • 6.1. SQLA powerful tool that helps you build a foundation for your data science career: https://sqlzoo.net/ https://lnkd.in/gJijs5v
   • 6.2. StatisticsMath and Stats are the building blocks of Machine Learning algorithms: https://lnkd.in/gZMbtw9 https://lnkd.in/g5xUC9B
   • 6.3. Machine learningYou should understand what is Machine learning and how it works: https://lnkd.in/g9K6FMM http://course18.fast.ai/ml
   • 6.4. Python programming: https://lnkd.in/g5XPJfRhttps://lnkd.in/gcq4yvy https://lnkd.in/gQeSAmV
   • 6.5. Data Visualisation: https://lnkd.in/gDsZNWY https://lnkd.in/gvSXydk
   • 6.6. Data Wrangling and Data Exploration: https://lnkd.in/gvqy-ha https://lnkd.in/gfPitDG

9. Data Science Labs: https://www.wqu.edu/programs/applied-ds-lab/

10. Data Infinity: https://data-science-infinity.teachable.com/p/mini-course-introduction-to-data-science-machine-learning

11. Data Science Infinity: https://data-science-infinity.teachable.com/

12. Data Sciencce Tutorials for beginners: https://www.kaggle.com/kanncaa1/data-sciencetutorial-for-beginners/

13. Data Scientist Role: https://towardsdatascience.com/know-what-employers-are-expecting-for-a-data-scientist-role-in-2020-65ad68553cc4

14. Data Tutuorial: https://analyticsindiamag.com/dtale-tutorial-guide-to-visualize-pandas-data-structure/

15. Data Science Project: https://towardsdatascience.com/data-science-projects-that-will-get-you-the-job-805065e7260

Developer Communities

1. Morioh: https://morioh.com/
2. Solve for Good: https://solveforgood.org/
3. Made With ML: https://madewithml.com/
4. Extension for the latest developer news: https://chrome.google.com/webstore/detail/dailydev-the-homepage-dev/jlmpjdjjbgclbocgajdjefcidcncaied
5. Google Developers Community: https://developers.google.com/community
6. StackShare: https://stackshare.io/feed

Embedded

1. Interactive Simulations: phet colorado
2. IOT Project: https://www.balena.io/

Free Resources

1. Skillup free online courses: https://www.simplilearn.com/skillup-free-online-courses
2. Free Monthly Learning Resources: https://github.com/josepraveen/free_monthly_learning_resources/tree/main/resources
3. Skillshare for creative clases: https://www.skillshare.com/
4. https://www.edyoda.com/
5. Free Bootcamp: https://www.classcentral.com/report/javascript-and-webdev-bootcamps/
6. Resources for Allies in Tech: https://mailchi.mp/cf4c70809792/info-for-allies
7. 52 Weeks Python: https://courses.davidbombal.com/p/quokka
8. IT Training: https://davidbombal.com/
9. Microsoft Virtual Days: https://www.microsoft.com/en-us/trainingdays
10. Open University Courses: https://github.com/kabartay/OpenUnivCourses
11. Software and data skills training: https://www.korbit.ai/
12. Web Development: https://github.com/microsoft/Web-Dev-For-Beginners
13. Rubiks Cube project in Python: https://github.com/VickneshB/RubiksCube
14. UsefulBooks: https://github.com/maheshcheetirala/usefulbooks
15. SQL: https://8weeksqlchallenge.com/getting-started/
16. Learn Typing for free: https://www.typing.com/
17. Free certification courses: https://eduexplore4all.blogspot.com/2021/06/isro-launches-free-mldl-certificate.html?m=1
18. Aviatrix: https://community.aviatrix.com/t/y4hh4ml/ace-associate-self-paced-learning-resources
19. Library: https://actascientific.com/contact.php
20. Python for Developers: https://m.youtube.com/playlist?list=PLlrxD0HtieHhS8VzuMCfQD4uJ9yne1mE6
21. Scaler: https://www.scaler.com/event/hackx/?utm_source=Champion&utm_medium=B037&utm_campaign=brand_scaler_livemasterclass_champion_B037_Masterclass
22. 500+ Online Free Short Courses with Certificates 2022: https://brightscholarship.com/500-online-free-short-courses-with-certificates/
23. Free courses to Upskill: https://learningmountain.wordpress.com/2022/10/01/october-2022-free-learning-certification-courses-to-upskill/

Git

1. Beautify Your GitHub Profile like a Pro: https://dev.to/ruppysuppy/beautify-your-github-profile-like-a-pro-5093
2. Open Source game about learning GIT: https://ohmygit.org/
3. Git Best Practices: https://www.freecodecamp.org/news/git-best-practices-commits-and-code-reviews/

Hackathon

1. The home for Hackathons: https://devpost.com/
2. Hackerearth: https://www.hackerearth.com/challenges/hackathon/reimaginefuture-hackathon/
3. PlantYourCode: https://plantyourcode.com
4. HacktoBerfest: https://hacktoberfest.com/

Open Source

1. Open Source Day: https://ghc.anitab.org/programs-and-awards/open-source-day/
2. Open Source Confernece: https://www.allthingsopen.org/

Personal Development

1. Personal Development: https://vaishalilambe.club/
2. Productivity: https://www.inspiringleadershipnow.com/pomodoro-technique-vs-deep-work/

Portfolio

1. OnTribe: https://www.ontribe.in/

Product Management

1. Product Management Library: https://productnotion.co/
2. Free Online Resources for Product Managers: https://productschool.com/free-product-management-resources/

Scholarships

1. The Linux Foundation Training (LiFT) Scholarship Program
2. Udacity Scholarships: https://www.udacity.com/scholarships
3. Google Scholarships: https://buildyourfuture.withgoogle.com/scholarships
4. 70% DISCOUNT on our #5G Certification Program courses & 60% on exams for University students, faculty & admin! IMPORTANT NOTICE: The Summer Splash discount will be applied to University students, facility and administration when registering with a valid university email address. (Promotion ends on 30th September 2021)
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5. Top AI fellowships: https://towardsdatascience.com/top-ai-fellowship-programs-to-look-out-for-344af565824c

Stock Market

1. Stock market courses: https://www.elearnmarkets.com/
2. Zerodha: https://zerodha.com/varsity/

Useful Reads and Links

1. Tech Blog 👉 https://skillcrush.com/blog/
2. Learn Web Scraping using Python in under 5 minutes 👉 https://medium.com/@kaustumbhjaiswal7/learn-web-scraping-using-python-in-under-5-minutes-36a7d4d6e1e7
3. How to Build a Stunning Interactive Dashboard within 10 Minutes 👉 https://towardsdatascience.com/how-to-build-a-great-dashboard-ee0518c3d3f7
4. Artificial Neural Networks Explained: https://blog.goodaudience.com/artificial-neural-networks-explained-436fcf36e75
5. How to version control your production machine learning models? https://www.datarobot.com/blog/how-to-version-control-your-production-machine-learning-models/
6. College Algebra – Learn College Math Prerequisites with this Free 7-Hour Course: https://www.freecodecamp.org/news/learn-algebra-to-improve-your-programming-skills/
7. Free Books Download: https://www.pdfdrive.com/
8. Blogs: Medium.com and Towardsdatascience.com
9. Skillpipe Knowledge Base: https://policies.skillpipe.com/en/faq/#user-guide
10. Is Tech right for you? https://skillcrush.com/is-tech-right-for-you/?hsCtaTracking=6a6cbad7-f2fb-42a0-9232-7ef44ac2ab4c%7Cf59d069a-dabf-4d83-acc7-f1e639d5beac
11. Mockito: https://www.digitalocean.com/community/tutorials/mockito-mock-examples
12. Blog: https://www.freecodecamp.org/news/how-to-start-a-blog-book/
13. Articles: https://arxiv.org/
14. 6G: https://www.highspeedinternet.com/resources/6g-internet
15. Leadership Podcast: https://vaishalilambe.club/about/?amp=1
16. 5G Energy Consumption: https://www.vertiv.com/en-us/about/news-and-insights/articles/blog-posts/actionable-steps-for-managing-5g-energy-consumption/?utm_source=linkedin-paid&utm_medium=paid-social&utm_campaign=power-of-5g&utm_term=manage-your-5g-energy-consumption&utm_content=en_1200x628_sponsored-content_article-page
17. Canvas: https://www.strategyzer.com/canvas
18. AI: https://news.harvard.edu/gazette/story/2020/12/are-humans-really-the-best-role-models-for-a-robot/?utm_campaign=Artificial%2BIntelligence%2BWeekly&utm_medium=web&utm_source=Artificial_Intelligence_Weekly_191
19. ML with Microcontrollers: https://hackaday.com/2020/12/04/remoticon-video-how-to-use-machine-learning-with-microcontrollers/
20. Skills Intelligence: https://workera.ai/
21. How to Be Awesome at Your Job: https://podcast.app/how-to-be-awesome-at-your-job-p128869/?utm_source=ios&utm_medium=share
22. Ask you questions to get the answers: https://demo.deeppavlov.ai/#/en/textqa
23. ML Journal: https://arxiv.org/pdf/2101.03989.pdf
24. About ChatBots: https://www.popularmechanics.com/technology/robots/a35165370/microsoft-resurrects-the-dead-chatbots/?fbclid=IwAR3HJGi2rQdb3sVPzYS2kA3YigX8Kri5Py2dChpKdIFZu-CB-_bqcsPv7AY
25. Decision making tool: https://activegraf.com/
26. 37% OF AI Techonologies are Adopted: https://www.analyticsinsight.net/37-of-ai-technologies-are-adopted-by-high-tech-industry/
27. AI Milestone: https://www.digitaltrends.com/web/2020-ai-major-milestones/
28. Project Canvas: https://projectcanvas.dk/
29. Advance Your Python Skills by Building a WhatsApp Chat Analyzer : https://betterprogramming.pub/https-medium-com-nityeshagarwal-whatsapp-chat-analyser-a-guided-project-7d21e033109d
30. Why deep learning won’t give us level 5 self-driving cars: https://bdtechtalks.com/2020/07/29/self-driving-tesla-car-deep-learning/
31. Improve your focus and productivity with this Python tool: https://opensource.com/article/20/8/python-concentration
32. Can AI Now Defer Human Decisions?: https://analyticsindiamag.com/can-ai-now-defer-human-decisions/
33. PlanetofSuccess: http://www.planetofsuccess.com/
34. Actionable Steps for Managing 5G Energy Consumption: https://www.vertiv.com/en-us/about/news-and-insights/articles/blog-posts/actionable-steps-for-managing-5g-energy-consumption/?utm_source=linkedin-paid&utm_medium=paid-social&utm_campaign=power-of-5g&utm_term=manage-your-5g-energy-consumption&utm_content=en_1200x628_sponsored-content_article-page
35. Safer Internet: https://1.1.1.1/
36. How to Google like a pro: https://www.freecodecamp.org/news/how-to-google-like-a-pro-10-tips-for-effective-googling/
37. SkillUp courses: https://in.skillup.online/
38. How to improve Problem solving skills: https://amymhaddad.com/how-to-get-better-at-solving-programming-problems
39. Answers for All Questions: https://ashutoshhathidara.com/truvisory/#/

Women Communities and Programs for Women

1. PyLadies: https://pyladies.com/
2. Correlation One : https://www.correlation-one.com/data-science-for-all-women?utm_source=referral&utm_medium=direct&utm_campaign=ds4a_tena
3. WomenWhoCode: https://www.womenwhocode.com/about
4. girlscript: https://gssoc.girlscript.tech/
5. Women Techmakers: https://developers.google.com/womentechmakers
6. Women In Tech: https://women-in-tech.org/
7. WomenInAI : https://www.womeninai.co/
8. Women in data science and AI - Resources: https://www.turing.ac.uk/research/research-projects/women-data-science-and-ai/resources
9. 19 organizations advancing women in tech: https://www.cio.com/article/215709/16-organizations-for-women-in-tech.html/amp
10. Datascience for all: https://www.correlation-one.com/data-science-for-all-empowerment?utm_source=amb&utm_medium=amb&utm_campaign=TENA
11. Girls x Tech: https://www.ivolunteer.in/organization/0017F00002DVfvyQAD
12. Women Scholarship: https://ingressive.org/
13. The Linux Foundation Training (LiFT) Scholarship Program
14. The girl code: http://thegirlcode.co/build
15. Girls script: https://gwoc.girlscript.tech/
16. LevelUp: https://www.levelupapp.co/
17. Iam Remarkable: https://iamremarkable.withgoogle.com/