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
I learn thise Course from The Univercity of Texax in austin and Then Deakin Univercity. Provided by Greate-lack from great-learning.
- Artificial Intelligent Machine Learing and Data Scince and analytics (AIML Post Graduate Program)
- Master In Globale Data Scientist (Master In Data Science Graduate Degree Programs)
- Python Progrmaign I and II
- Applied Mathematics Statatistics
- Machine Learing Algorithm theory and Mathematics
- Supervice Machine Learing
- Unsupervice Machine Learing
- Ensemble Learning
- Reinforcement Machine Learing
- Neural Network and Deep Learing
- Feature Enginering
- Time Series Forecasting
- Recomendation System
- Statistical Data Analytic
- Model Hypterparamter Tuning and Model Evalution and Matrix
- Computer vision ( Object Detection, Image Classification, other related compute vision staff )
- NLP Natural Language Procession with ML Algorightm
- Recomentation System and Syntiment Analysis
- Machine Learing Algoritm and Mathematics
- Advance Python Programing and ML related libray and tools
- Practice Exersize and Project
- Big Data Hadoop System and Pyspark and Big Data Analitic
- Python Data Extraction, Injection to Relation Database
- SQL Programing
- Lab Exerisse and Project Assignment
- R-Programing Languge
- Applied Statatical Analysis Mathematic In R-Proraming language
- Real World Data analytics
- Linear programing in R-Languge
- Mathematic in Geme theory Mathematic in R-Lanauge
- Data Wrangling (python numpy, pyspark, R-laguage)
- Data Visualiation and Statistical analytics (Power BI and Tableau)
- Machine Learing Mathematic
- Statistic Mathematic
- Liner Algebra mathematic I and II
- Calculs, Vector, Grap
- Probability
- Probability and Statistic
- Enginering AI Solution
- Modern AI Software Development Process
- Data Governance and Complaince and security
- Artifical Inteligent System
- Azure Machine Learing
- Azure Ml Model Deployment
- Mlops Operations
- Azure Computer vision , Azure Custome Vision
- Azure openAi
- practice and project Assignment
- Generative AI
- NLP(Natural Lanauge Processing)
- Sequencial Data Learing Algoritm , RNN, LSTM and GRU
- (https://towardsdatascience.com/illustrated-guide-to-lstms-and-gru-s-a-step-by-step-explanation-44e9eb85bf21)
- Large Languate Model: like GPT-3.5 turbo, GPT-40 & meta LLama3.1 etc
- Openai, azure ml, azure vision and custom vision
- Hugging Face,Transformers, LangChain framework & librery , vectordb
- word embeding Techniques
- TF-IDF (Term Frequency-Inverse Document Frequency )
- word2vec
- Global Vector for Word Representation (Glove)
- BERT
- Bag of Words(BoW)
- Fasttext
- NLTK,gensim & SpaCy Language Processiong library
https://www.pythontutorial.net/
Notebooks details:
- Supervised Learning
- Medical : Patient Condition Prediction
- Banking : Predicting Loan Eligibility
- Unsupervised Learning
- Automobile : Segment Categorization Of Cars
- Automobile : Vehicle Silhouette Classification
- Ensemble Techniques
- Telecom : Customer Churn Probability Classification
- Telecom : Customer Churn Probability Classification : Modularization For Maintainability
- Feature Engineering & Elimination, Model Selection & Tuning -
- Semiconductor Industry : Manufacturing Process Yield Prediction
- Recommendation Systems
- Smartphone, Electronics : Mobile Phone Recommendation System
- Neural Networks ANN
- Electronics & Communication : Signal Quality Prediction
- Autonomous Vehicles : SVHN Photograph Digit Classification
- 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
- 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/
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://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
This is helpfull for Data Scientist People. How mathematical Equation drow in document as well as Statistical Analysis Viewing the Reports
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