links.md

66daysofdata

repository of links, video and other stuff related to the #66daysofdatachallenge

Freecodecamp : A very useful site containing a LOT of courses, and on many subjects, a lot of them useful for Machine Learning!

• https://www.freecodecamp.org/

Useful Kaggle links and notebooks:

• https://www.kaggle.com/

• https://www.kaggle.com/timoboz/data-science-cheat-sheets/download

• https://www.kaggle.com/alexisbcook/data-leakage

• https://www.kaggle.com/simranjain17/housing-prices-eda-etl-chapter-2-code-hands-on-ml

• https://www.kaggle.com/simranjain17/linear-regression-assumptions-code

• https://www.kaggle.com/mihirpanchal17/quantium-customer-chips-transaction-analysis

• https://www.kaggle.com/python10pm/pandas-100-tricks

• https://www.kaggle.com/python10pm/sklearn-50-best-tips-and-tricks

Spark:

• https://databricks.com/p/ebook/learning-spark-from-oreilly

DataSets

• https://cdn.discordapp.com/attachments/749419101134258278/752252740230578186/auto-mpg_dataset.zip

• https://www.nbastuffer.com/analytics101

Machine learning and Deep learning:

• https://www.amazon.com/Approaching-Almost-Machine-Learning-Problem-ebook/dp/B089P13QHT/ref=as_li_ss_tl?dchild=1&keywords=abhishek+thakur&qid=1598661786&sr=8-1&linkCode=sl1&tag=kenjee-20&linkId=43f219fc9875e634f0a5536acd4fa781&language=en_US

• https://www.amazon.com/Hands-Machine-Learning-Scikit-Learn-TensorFlow/dp/1492032646/ref=as_li_ss_tl?dchild=1&keywords=scikit+learn&qid=1598661723&sr=8-5&linkCode=sl1&tag=kenjee-20&linkId=1a01eae222ae8d24bc9e3d57b223f94a&language=en_US

• https://365datascience.com/start-learning-ao/?utm_medium=affiliate&utm_campaign=11148&utm_source=kjeeone&irgwc=1

• https://github.com/fastai/fastbook

• https://www.freecodecamp.org/news/a-no-code-intro-to-the-9-most-important-machine-learning-algorithms-today/

• https://d2l.ai/

• http://introtodeeplearning.com/

• https://www.youtube.com/watch?v=l82PxsKHxYc&list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI&index=11

• https://www.youtube.com/watch?v=WFr2WgN9_xE

• https://t.me/datascience_ml

• https://jakevdp.github.io/PythonDataScienceHandbook/02.02-the-basics-of-numpy-arrays.html

• https://whimsical.com/CA7f3ykvXpnJ9Az32vYXva

Transfer learning

• https://medium.com/abraia/first-steps-with-transfer-learning-for-custom-image-classification-with-keras-b941601fcad5

Python:

• https://www.kaggle.com/learn/python

• https://www.youtube.com/watch?v=_uQrJ0TkZlc&t=189s

• https://www.youtube.com/watch?v=8DvywoWv6fI

• https://gist.github.com/doughsay/cb50d9e4d344230ebc166255a202f81d

• https://realpython.com/free-courses-march-2020

• https://www.youtube.com/watch?v=WFr2WgN9_xE

• https://cdn.discordapp.com/attachments/749419101134258278/751140325652824215/Python-Cheat-Sheet.pdf

• http://www.pythonchallenge.com/

Numpy:

• https://cdn.discordapp.com/attachments/749419101134258278/751144082604294174/Numpy_Python_Cheat_Sheet.pdf

Pandas:

• https://cdn.discordapp.com/attachments/749419101134258278/751144106071425135/Pandas_Python_Cheat_Sheet.pdf

• https://www.youtube.com/playlist?list=PL-osiE80TeTsWmV9i9c58mdDCSskIFdDS

• https://bytetales.co/

• https://www.w3resource.com/python-exercises/pandas/index.php

• https://www.kaggle.com/python10pm/pandas-100-tricks

Matplotlib:

• https://cdn.discordapp.com/attachments/749419101134258278/751144122001129663/Matplotlib_Python_Cheat_Sheet.pdf

• https://www.kaggle.com/raenish/cheatsheet-100-plotly-part-1-basic

Scikit-learn:

• https://cdn.discordapp.com/attachments/749419101134258278/751145887513706502/Scikit-Learn_Python_Cheat_Sheet.pdf

• https://www.kaggle.com/python10pm/sklearn-50-best-tips-and-tricks

• https://www.youtube.com/watch?v=ujTCoH21GlA&list=PLzMcBGfZo4-mP7qA9cagf68V06sko5otr

Seaborn:

• https://cdn.discordapp.com/attachments/749419101134258278/751214641715347526/Seaborn_Python_Cheat_Sheet.pdf

Maths:

• https://www.amazon.com/Practical-Statistics-Data-Scientists-Essential/dp/1491952962/ref=as_li_ss_tl?dchild=1&keywords=data+science+statistics&qid=1598661748&sr=8-4&linkCode=sl1&tag=kenjee-20&linkId=9837d4a6db603bec8a41db1132a7fa64&language=en_US

• https://cdn.discordapp.com/attachments/749419101134258278/751214669330513940/SciPy_Python_Cheat_Sheet_Linear_Algebra.pdf

• https://www.youtube.com/playlist?list=PLWKjhJtqVAbl5SlE6aBHzUVZ1e6q1Wz0v

• https://leanpub.com/openintro-statistics

• https://mml-book.github.io/

• https://greenteapress.com/thinkstats/

Data Wrangling:

• https://cdn.discordapp.com/attachments/749419101134258278/751165827549495296/Data_Wrangling_python_and_pandas.pdf

Methods and tips for success:

• https://blog.zenhub.com/why-rubber-duck-debugging-is-the-best-way-to-debug-your-code/

• https://rubberduckdebugging.com/

• https://www.mrdbourke.com/42days/

• https://cdn.discordapp.com/attachments/749419101134258278/751284259796287629/Brian_Godsey_Brian_Godsey_-_Think_Like_a_Data_Scientist__Tackle_the_data_science_process_step-by-ste.epub

• https://shivansivakumaran.com/for-optometrists/how-writing-benefits-you-and-how-to-get-started/

• https://github.com/jwasham/coding-interview-university

• https://towardsdatascience.com/how-id-learn-data-science-if-i-could-start-over-2-years-in-b821d8a4876c

• https://towardsdatascience.com/create-your-own-data-science-curriculum-6628b253d50d#:~:text=To%20recap%2C%20to%20create%20a,that%20you%20need%20to%20learn

Books:

• https://www.amazon.com/Data-Science-Business-Data-Analytic-Thinking/dp/1449361323

• https://www.youtube.com/watch?v=-pdXWmj9xxU&t=331s

• https://www.reddit.com/r/datascience/comments/innazn/what_we_look_for_in_hiring

• https://www.kdnuggets.com/2020/08/top-10-lists-data-science.html

• https://www.oreilly.com/library/view/python-for-data/9781491957653/

Ken Jee:

• https://www.youtube.com/watch?v=-pdXWmj9xxU&t=331s

• https://www.amazon.com/Mini-Habits-Smaller-Bigger-Results-ebook/dp/B00HGKNBDK/ref=sr_1_1?crid=UU2BE7AW8W6J&dchild=1&keywords=mini+habits&qid=1599414761&sprefix=min+habi%2Caps%2C236&sr=8-1

• https://www.amazon.com/Elastic-Habits-Create-Smarter-Adapt-ebook/dp/B08188WBGC/ref=bmx_3/139-4615164-7017717?_encoding=UTF8&pd_rd_i=B08188WBGC&pd_rd_r=adc497ca-25bb-43b7-9be4-3532af72463d&pd_rd_w=r1mBf&pd_rd_wg=Nifk5&pf_rd_p=8cea7b83-adee-4ac8-bcfe-dcc442eb852a&pf_rd_r=HNPA5JQ2TBA1Y93VPDKG&psc=1&refRID=HNPA5JQ2TBA1Y93VPDKG

• https://www.amazon.com/Bullet-Journal-Method-Present-Design-ebook/dp/B07B7C4F9C/ref=sr_1_1?crid=ZVEVX6QHO92R&dchild=1&keywords=the+bullet+journal+method&qid=1599414800&s=digital-text&sprefix=the+bullet+jour%2Cdigital-text%2C229&sr=1-1

PODCASTS:

• Lex Fridman Podcast > https://lexfridman.com/podcast/

• Practical AI > https://changelog.com/practicalai

• twiml > This week in machine learning > https://twimlai.com/

• Data Driven > https://datadriven.tv/episodes/

• SuperDataScience > https://www.superdatascience.com/podcast

• Machine Learning - Software Engineering Daily > https://softwareengineeringdaily.com/category/all-episodes/exclusive-content/Podcast/

OTHERS

• https://www.datacamp.com/community/data-science-cheatsheets

• https://medium.com/better-programming/the-only-step-by-step-guide-youll-need-to-build-a-web-scraper-with-python-e79066bd895a

• https://www.reddit.com/r/learnmachinelearning/

• https://shivansivakumaran.com/for-optometrists/how-writing-benefits-you-and-how-to-get-started/

• https://www.notion.so/

• https://www.linkedin.com/posts/ashley-eastman-71536236_completion-certificate-for-python-for-everybody-activity-6711336658337456129-p5Kx