rsurendraidexcel Goto Github PK

Name: Surendra Bahadur Rai

LinkedIn Connect : https://www.linkedin.com/in/surendra-bahadur-rai-14561818/

My Profile: https://la.utexas.edu/texasexeced/digitalVerification.html?key=KTNfL

https://olympus1.mygreatlearning.com/certificate/OFFEOFKF

Project and Assignment In Profile:

https://eportfolio.mygreatlearning.com/surendra-bahadur-rai

This Content is Basical Related AIML and Data Science and Data Analysis

https://www.pythontutorial.net/

https://python-course.eu/

Notebooks details:

1. Supervised Learning – • Medical : Patient Condition Prediction • Banking : Predicting Loan Eligibility
2. Unsupervised Learning – • Automobile : Segment Categorization Of Cars • Automobile : Vehicle Silhouette Classification
3. Ensemble Techniques – • Telecom : Customer Churn Probability Classification • Telecom : Customer Churn Probability Classification : Modularization For Maintainability
4. Feature Engineering & Elimination, Model Selection & Tuning - • Semiconductor Industry : Manufacturing Process Yield Prediction
5. Recommendation Systems – • Smartphone, Electronics : Mobile Phone Recommendation System
6. Neural Networks ANN – • Electronics & Communication : Signal Quality Prediction • Autonomous Vehicles : SVHN Photograph Digit Classification
7. Computer Vision – • Botanical Research : Plant Species 3D Image Classification • Entertainment : Masked Image Face Detection • Botanical Research : Flower Image Classification • Face Recognition : Masked Image Face Identification • Entertainment : Movie Cast & Crew Classification : Image Dataset Creation For Classification
8. Natural Language Processing – • Digital Content Management : Blog Topic Classification • Social Media Analytics : Sarcasm Detection • Customer Support : Interactive Semi - Rule Based Chatbot • Digital content and entertainment industry : IMDB Review Customer Sentiment Analysis

Data Analysis in Python

https://wesmckinney.com/book/time-series

Data Wrangaling Python

https://datawranglingpy.gagolewski.com/index.html

Forecasting: Principles and Practice

https://otexts.com/fpp3/intro.html

Learn R pgrograming

https://learnetutorials.com/r-programming

https://sparkbyexamples.com/r-tutorial-with-examples/

https://rc2e.com/

R for Social Scientists

https://datacarpentry.org/r-socialsci/01-intro-to-r.html

Data-Wrangling

https://bookdown.org/jgscott/DSGI/data-wrangling.html

https://r4ds.had.co.nz/index.html

R Programming for Data Science:

https://deepr.gagolewski.com/

https://bookdown.org/rdpeng/rprogdatascience/

Under stating R- Mean, median, Harmonic Mean, Weight mean,Geometric Mean

https://www.gs.washington.edu/academics/courses/akey/56008/lecture/

Probability for Data Science

https://probability4datascience.com/lecture.html

https://probability4datascience.com/video_ch01.html

Basic Mathematical Equation formula https://rpruim.github.io/s341/S19/from-class/MathinRmd.html

https://bookdown.org/yihui/rmarkdown/markdown-syntax.html#inline-formatting

https://book.stat420.org/index.html

https://rmarkdown.rstudio.com/lesson-1.html

https://bookdown.org/fmcron/Rhodes-template

https://cran.r-project.org/web/packages/kableExtra/vignettes/awesome_table_in_html.html#Installation