Go CORONA GO - Volunteer Project Initiative exclusive to Data Science Nuggets Members

After making some great progress we are further extending volunteer project initiative further with some new requirements for a weekend hackathon Saturday & Sunday.
Inviting Volunteers from all backgrounds (Technical/Non Technical) to contribute for this Corona project initiative. Objective of the initiative is to promote collaboration in the Data Science Nuggets groups and to create a platform for everyone from experienced to beginners to support and learn via hands-on project.
This is strictly Doer's group and not for in-active participants. This is not an initiative where you will be trained from scratch but its a task based initiative where while working you can learn and sufficient reference links will be provided for beginners to pick up the task.

How to Participate?
If you are available to contribute atleast 4-8 hours this weekend then Send your interest to @LordAdminBot stating your area of interest
a) Python/Plotly b)R/GoogViz/Shiny c)PowerBI d)Tableau e) UI/UX

Once we receive your nomination you will be given a small data collection task and a sample task relating to the area of choice. Once this is completed you will be allowed to join the project group for the weekend hackathon

Reward:
Weekly top contributors will be given a shout out in the main channel. And work published in channel with credits

Our Top contributors of last week are:
Ashish Ranjan (@RanjanAshu) 🏆
Alex Novoselov 🏆
Thanks for support from:
Jugmeetsingh Kalsi & Rahul Katyal on data collection 🏅

Here's 7 statistical & machine learning concepts that you should know for #DataScience:

1. Tree Based Methods
a. Decision Trees - https://lnkd.in/gBtCk9G
b. Random Forest - https://lnkd.in/g9FkczK
c. Gradient Boosting Trees - https://lnkd.in/gFPFGsk

2. Linear (Regularized) Models
a. Lasso & Ridge - https://lnkd.in/g3dJT-g
b. Linear Regression - https://lnkd.in/g7AS6Ar
c. Logistic Regression - https://lnkd.in/gq4EyJc

3. Hypothesis Testing & confidence
a. A/B Testing - https://lnkd.in/gmeijHV
b. Chi Square Test - https://lnkd.in/gG6vz2T
c. Statistical Tests - https://lnkd.in/gJcfTsq

4. Resampling Methods
a. Bootstrapping and Bagging - https://lnkd.in/gPmm4by
b. Cross Validation - https://lnkd.in/gsfsE6y

5. Clustering K-means
https://lnkd.in/gvNsp8N

6. Feature Selection
https://lnkd.in/gdCBWpB

7. Evaluation Metrics
a. Classification Metrics - https://lnkd.in/gxeyC6n
b. Regression Metrics - https://lnkd.in/gj4Eg9p

---- Hope this helps!

Credit : Randy Lao - Linkedin
@kdnuggets @datasciencechats
#datascience #machinelearning #beginner #learning

Free ebook on Probability
#statistics #learning #beginner #mathematics
https://drive.google.com/file/d/1VmkAAGOYCTORq1wxSQqy255qLJjTNvBI/view

Database of COVID-19 cases with chest X-ray or CT images
@kdnuggets @datasciencechats
#machinelearning #datascience #dataset
https://github.com/ieee8023/covid-chestxray-dataset

Statistics & Data Science what's the difference?
#learning #begginer #datascience #statistics
https://www.datasciencecentral.com/profiles/blogs/the-difference-between-statistics-and-data-science-big-data-and

SAS academy for Data Science free for 30 days
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https://www.sas.com/en_in/training/academy-data-science.html?utm_source=sasir&utm_medium=referral&utm_campaign=datascience

Udacity nano degree courses free for 30 days
#machinelearning #datascience #beginner #learning
https://blog.udacity.com/2020/03/one-month-free-on-nanodegrees.html

Some weekend visualization from the hackathon work. India Relief fund breakdown.
#instagram #datavisualization
Follow out Instagram channel for more:
https://www.instagram.com/p/B-Rf4nYgFAU/?igshid=roiuj6rj2kn2

Loads and loads for beginners of all fields.
#beginner #mathematics #machinelearning #courses #datascience
@kdnuggets @datasciencechats
https://www.freecodecamp.org/news/here-are-380-ivy-league-courses-you-can-take-online-right-now-for-free-9b3ffcbd7b8c/

👆👆Above are results of the community event we had entire this month especially during weekends: "DATA SCIENCE NUGGETS HACKATHON"
The results speak for themselves. Work done by majority of beginners who had the opportunity to learn and deliver useful tools during the process.
Kudos to all the participants who volunteered and to our top contributors who will be rewarded shortly.
Those who could not spend time can participate further.
@kdnuggets @datasciencechats

Go through the post here:
https://t.me/KDnuggets/695