#xylemlearning #class12cbse #xylemclass12cbse #computerscience Register for AGNI Batch :- https://linke.to/Ea2gDo For More Details :- 9995400800 For Free Notes :- https://linke.to/zGAVS Xylem Class 12 CBSE is a comprehensive online platform designed specifically for students studying in the 12th grade under the CBSE curriculum. Offering a wide range of subjects including Physics, Maths, Chemistry, Biology, and Computer Science, Xylem Class 12 CBSE aims to provide students with a holistic learning experience that covers all their academic needs. One of the key features of Xylem Class 12 CBSE is the detailed discussions on Multiple Choice Questions (MCQs), Previous Year Questions (PYQs), Most Important Questions (MIQs), and model exams. These discussions help students to not only understand the concepts better but also prepare effectively for their board exams. By practicing with a variety of question types, students can enhance their problem-solving skills and gain confidence in tackling any type of question that may come their way in the exam. The platform also offers a dedicated section for each subject where students can find resources such as notes, video lectures, and practice papers curated by experienced educators. These resources are designed to help students grasp the concepts more effectively and revise them regularly to ensure better retention of information. In addition to the subject-specific resources, Xylem Class 12 CBSE also provides guidance on exam preparation strategies, time management tips, and study techniques to help students excel in their board exams. The platform understands the importance of scoring well in the board exams and aims to equip students with the knowledge and skills required to achieve their academic goals. Furthermore, Xylem Class 12 CBSE ensures that students have access to a pool of experts who can clarify their doubts and provide additional support whenever necessary. The interactive nature of the platform allows students to engage with their peers and educators, creating a conducive learning environment that encourages collaboration and knowledge sharing. Overall, Xylem Class 12 CBSE is a one-stop solution for students looking to ace their board exams and excel in their academic pursuits. With its comprehensive study materials, expert guidance, and interactive learning tools, Xylem Class 12 CBSE is committed to helping students reach their full potential and achieve academic success. Xylem Learning is South India's premier learning platform, offering a wide range of educational services to students of all academic levels. Specializing in Class 12 CBSE tuition, Xylem Learning also provides top-notch coaching for entrance exams such as NEET, JEE, KEAM, and CUET. Additionally, Xylem Learning offers comprehensive tuition for the Kerala state syllabus as well as CBSE syllabus for students of all classes. With a team of dedicated and experienced educators, Xylem Learning is committed to providing high-quality education tailored to meet the individual needs of each student. From personalized attention in small class sizes to innovative teaching methods that promote understanding and retention, Xylem Learning strives to create a supportive and enriching learning environment for all its students. Whether you are preparing for a competitive entrance exam or seeking academic support in your regular studies, Xylem Learning has the resources and expertise to help you achieve your educational goals. By offering a diverse range of courses and study materials, Xylem Learning ensures that students have access to the tools and guidance they need to succeed in their academic pursuits. Choose Xylem Learning as your partner in education and unlock your full potential. Join the ranks of successful students who have benefitted from the top-notch education and guidance provided by Xylem Learning. Visit our website or contact us today to learn more about our services and how we can help you excel in your academic journey. With Xylem Learning, the pathway to academic success is clearer and more achievable than ever before.

#R4DS, #RForDataScience,#Rprogramming, #Tidyverse #TwitchLiveStreams800PMEDT: https://www.twitch.tv/davidjayjackson #Twitter: https://twitter.com/DavidJa09259201 How to Learn R - Easy & Free: https://youtu.be/Lj_LpBq2qxE

This is to recommend you the "R for Data Science" book! Link to the site: https://r4ds.had.co.nz/ Thumbnail picture also from the site. Link to book with the exercise solutions: https://jrnold.github.io/r4ds-exercise-solutions/

Ryan Spjut presents the rest of Chapter 7 (Exploratory Data Analysis) from R for Data Science by Hadley Wickham & Garrett Grolemund on 2021-01-20, to the R4DS Book Club. Cohort 4 Join the conversation at r4ds.io/join! Read along at https://r4ds.had.co.nz/

Ryan Spjut presents the next part of Chapter 7 (Exploratory Data Analysis) from R for Data Science by Hadley Wickham & Garrett Grolemund on 2021-01-27, to the R4DS Book Club. Cohort 4 Join the conversation at r4ds.io/join! Read along at https://r4ds.had.co.nz/

Andrew L. Dent, Program Director of the Geospatial Research Analysis and Services Program (GRASP) at the Agency for Toxic Substances and Disease Registry (ATSDR) explores recent geospatial projects and how geospatial science and geographic information systems (GIS) can help public health professionals and communities understand the relationship between place and health. Learn more about GRASP: https://www.atsdr.cdc.gov/placeandhealth/index.html This video can also be viewed at https://www.atsdr.cdc.gov/wcms/video/low-res/2021/10801080Andrew_Dent_YOUTUBE.mp4

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Baking soda volcanoes and potato batteries are a good introduction to science; these people took it a little further. Welcome to WatchMojo.com, and today we're counting down our picks for the top 10 influential scientists. Special thanks to our users ibriers 1, asulf97, MrMoneyclips, joemaher, Christopher Carbonar and Philip Folta for submitting the idea on our Suggest Page at WatchMojo.com/suggest! Check out the voting page here, http://watchmojo.com/suggest/Top%2010%20Influential%20Scientists If you want to suggest an idea for a WatchMojo video, check out our interactive Suggestion Tool at http://www.WatchMojo.com/suggest :) Check us out at http://www.Twitter.com/WatchMojo and http://www.Facebook.com/WatchMojo We have T-Shirts! Be sure to check out http://www.WatchMojo.com/store for more info. Help us caption & translate this video! http://amara.org/v/E78m/

Careers in Science, Technology, Engineering, and Math relate to planning, managing and providing scientific research and professional and technical services (e.g., physical science, social science, engineering) including laboratory and testing services, and research and development services. Learn more about the Science, Technology, Engineering, and Math career cluster overall, along with its related CAREERS, JOBS, and OCCUPATIONS on CareerOneStop.org: ** Science, Technology, Engineering, and Math Overview video: https://www.careeronestop.org/Videos/IndustryVideos/stem-overview.aspx ** Science, Technology, Engineering, and Math Occupations video: https://www.careeronestop.org/Videos/IndustryVideos/stem-occupations.aspx Learn more about this and other career clusters, industries, occupations, jobs, careers paths, education, training, salaries, trends, outlooks, and related career exploration resources and tools on CareerOneStop's website. ** https://www.CareerOneStop.org ** https://www.CareerOneStop.org/Videos ** https://www.CareerOneStop.org/OccupationProfile ** https://www.CareerOneStop.org/Salary ** https://www.CareerOneStop.org/FindTraining ** https://www.CareerOneStop.org/JobSearch

Erick Knackstedt presenting Chapter 4: Workflow Basics from R for Data Science by Hadley Wickham & Garrett Grolemund on 2020-08-14, to the R4DS Book Club. Cohort 1 [Americas] Find Erick's slides at https://github.com/r4ds/bookclub-R_for_Data_Science/blob/main/Presentations/Week03/Cohort1/Chapter4Slides.html Join the conversation at r4ds.io/join! Read along at https://r4ds.had.co.nz/

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Do you love science and candy? If you do, this Skittles rainbow science experiment is for you. It's easy - as long as you don't eat all of your materials ahead of time - and produces a riveting, colorful display that you can create again and again. Clean up is quick, and this is a rainbow you can make inside on a rainy day, or outside in the sun. Get a full list of everything you'll need to make your own Skittles rainbow by visiting: https://www.mottchildren.org/posts/camp-little-victors/skittles-rainbow ------------------------------------------------------- This video is part of our Camp Little Victors series. Camp Little Victors is a virtual summer camp created by C.S. Mott Children's Hospital. To learn more about Camp Little Victors, visit http://www.mottchildren.org/camp Subscribe to our Camp Little Victors playlist for more videos with fun activities, exercises and safety tips for the summer holidays: https://www.youtube.com/playlist?list=PLNxqP-XbH8BImXZ9pCQPzmqF-21j-xGot Learn more about C.S. Mott Children's Hospital: https://www.mottchildren.org ------------------------------------------------------- Subscribe to Michigan Medicine’s YouTube channel for upcoming videos and future live streams featuring our experts answering your questions. Follow Michigan Medicine on Social: Twitter: https://twitter.com/umichmedicine Instagram: https://www.instagram.com/umichmedicine/ Facebook: https://www.facebook.com/MichiganMedicine/ Follow C.S. Mott Children's Hospital on Social: Twitter: https://twitter.com/MottChildren Instagram: https://www.instagram.com/mottchildren/ Facebook: https://www.facebook.com/mottchildren/ #skittlesrainbow #scienceforkids #funscience #camplittlevictors #scienceprojects #skittles #rainbow #rainbowart #easyscience #colorful #summercamp

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Instructions and materials for each project are available on our website: 1. Infinity mirror: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Elec_p080/electricity-electronics/build-an-infinity-mirror 2. Wind turbine: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Aero_p040/aerodynamics-hydrodynamics/wind-turbine-design 3. Bath bombs: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Chem_p105/chemistry/bath-bomb-science 4. Marble roller coaster: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Phys_p036/physics/marble-roller-coaster-loop-the-loop 5. Slime: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Chem_p110/chemistry/design-your-own-slime 6. Balloon car: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Phys_p099/physics/balloon-powered-car-challenge 7. Popping boba: https://www.sciencebuddies.org/science-fair-projects/project-ideas/FoodSci_p074/cooking-food-science/boba-spherification 8. Electric motor: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Elec_p051/electricity-electronics/build-a-simple-electric-motor 9. Paper tower: https://www.sciencebuddies.org/science-fair-projects/project-ideas/CE_p027/civil-engineering/tallest-paper-tower-challenge 10. Solar car: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Energy_p043/energy-power/how-to-build-solar-powered-car 11. Electromagnet: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Elec_p035/electricity-electronics/strength-of-an-electromagnet 12. Candle carousel: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Aero_p051/aerodynamics-hydrodynamics/make-a-candle-carousel 13. Potato battery: https://www.sciencebuddies.org/science-fair-projects/project-ideas/Energy_p010/energy-power/potato-battery 14. Hydroponics: https://www.sciencebuddies.org/science-fair-projects/project-ideas/PlantBio_p045/plant-biology/hydroponics-gardening-without-soil 15. Candy chromatography: https://www.sciencebuddies.org/science-fair-projects/project-ideas/FoodSci_p006/cooking-food-science/candy-chromatography Science Buddies also hosts a library of instructions for over 1,500 other hands-on science projects, lesson plans, and fun activities for K-12 parents, students, and teachers! Visit us at http://www.sciencebuddies.org to learn more. Music: Cheery Monday Kevin MacLeod (incompetech.com) Licensed under Creative Commons: By Attribution 3.0 License http://creativecommons.org/licenses/by/3.0/ #STEM #sciencebuddies ******************************* Connect with Science Buddies: TWITTER: https://twitter.com/ScienceBuddies FACEBOOK: https://www.facebook.com/ScienceBuddies INSTAGRAM: https://www.instagram.com/scibuddy PINTEREST: https://www.pinterest.com/sciencebuddies

Data Science Mentorship Program (DSMP) 2022-23 ---------------------------------------------------------------------------------------------------------------------------------------------- Enroll in this Programme from our Website - https://learnwith.campusx.in/ Course Website Link - https://campusx1040.graphy.com/s/preview/courses/CampusX-Data-Science-Mentorship-Program#6376dbd8e4b065a4cadac4db YouTube Playlist - https://www.youtube.com/playlist?list=PLKnIA16_RmvbAlyx4_rdtR66B7EHX5k3z ------------------------------------------------------------------------------------------------------------------------------------------------------- ------------------------------------------------------------------------------------------------------------------------------------------------------- Feedback for November - https://forms.gle/F7GhkZrcQDgsykTu8 Session Notebook Link - https://colab.research.google.com/drive/1RVe07-2VU4Jft8GLFyf10PrQIOVfffaR?usp=sharing ------------------------------------------------------------------------------------------------------------------------------------------------------ | Time Stamp | ----------------------- 0:00 Streaming start 1:57 Plan and Month feedback 6:36 Session Start. 7:12 NumPy Array vs Python List 21:28 Advance Indexing 23:27 Fancy Indexing 29:00 Boolean Indexing 40:46 Broadcasting 48:09 Broadcasting Rules 52:15 Broadcasting Examples 1:04:08 Mathematical Operations in NumPy 1:06:49 Sigmoid in NumPy 1:12:14 Mean Squared error in NumPy 1:23:00 Working with missing values 1:29:30 Plotting Graphs 1:42:03 Doubts

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Here's a look at the first day of classes in The Engineering and Computer Science Center. ECSC is shared by Thayer School of Engineering, the Department of Computer Science, and the Magnuson Center for Entrepreneurship and at 160,000-square-feet is the second-largest academic building on Dartmouth's campus. More on the first day of classes in the new building: https://bit.ly/36zJSBP Video by Chris Johnson.

This video is part of an online course, Intro to Computer Science. Check out the course here: https://www.udacity.com/course/cs101.

Hello everyone, I am excited to announce that I decided to record a series of videos following the book R for data science (link to the book: https://r4ds.had.co.nz/index.html ) starting this summer! Statistics and Data Science, R and RStudio, are getting very popular. R for data science is a very nice book and it is freely available online. "Data science is an exciting discipline that allows you to turn raw data into understanding, insight, and knowledge. The goal of “R for Data Science” is to help you learn the most important tools in R that will allow you to do data science. " Please subscribe to my channel to follow along. If you like any of the videos, please give me a thumbs up and share them with your friends who are also interested in learning "R for data science"!

Statistics : http://www.greenteapress.com/thinkstats/ Intro to Statistical Learning : http://www-bcf.usc.edu/~gareth/ISL/ Advanced version : https://web.stanford.edu/~hastie/ElemStatLearn// Pattern recognition : Link : http://users.isr.ist.utl.pt/~wurmd/Livros/school/Bishop%20-%20Pattern%20Recognition%20And%20Machine%20Learning%20-%20Springer%20%202006.pdf R programming : Link : https://leanpub.com/rprogramming Python Data science handbook : https://jakevdp.github.io/PythonDataScienceHandbook For Study Packs : http://analyticuniversity.com/ Complete Data Science Course : http://bit.ly/34Sucmb Access All Coursera Plus courses @ $400 : https://bit.ly/2ZL51Dd Discounted courses on Udemy (for $11): http://bit.ly/2LYU6hp Free access to Skillshare: http://bit.ly/2thklJu Coursera : Data Science : http://bit.ly/37nABr6 Data Science Python : http://bit.ly/2ZK5oMm Recommended Data Science Books on Amazon : Python for Data Science: https://geni.us/PythonDataScience R for Data Science : https://geni.us/DataScienceR Machine Learning using Tensorflow: https://geni.us/MLinTensorflow Data Science from Scratch: https://geni.us/DataSciencefromScratch Python programming: https://geni.us/LearnPython Artificial Inteligence: https://geni.us/LearnAI Data Vizualization : https://geni.us/DataViz 20% discounts on below live courses : use coupon YOUTUBE20 Data Science Live Training : AI and Tensorflow: http://bit.ly/2tOnOzA Python : http://bit.ly/2QkH1QQ

This is a quick introduction chapter, chapter 1, of the book: R for data science. You may read chapter 1 through this link: https://r4ds.had.co.nz/ You need to install R and RStudio before you use RStudio. Follow this instruction here: https://github.com/yz-DataScience/R-for-data-science/blob/main/R%20and%20RStudio%20Installation%20file.pdf Leave me a comment if there are topics that you are interested in or looking forward to. You may find the playlist on R for data science book club here ( I have been recording the videos according to a popular book): https://youtube.com/playlist?list=PLKNR1HvYSio7IaKu2vGkNJ1_jGNYiJPmT