SAP 【222 hours committed】
Data Science 【425 hours committed】
Machine Learning 【200 hours committed】
Computer Science
Mathematics
Others 【4 hours commited】
4.09-4.11 Training Neural Networks
4.12-4.13 Classifying Fashion-MNIST
5.08-5.13 Multi-Layer Perceptron, Classifying MNIST Hand-Written Digits
5.36 CNN Classifying CIFAR-10 Images
6.08 VGG19 Style Transfer: Octopus, Chinese Monkey King × Der Blaue Reiter
7.16 Character-Level LSTM Generating Novel Chapter
8.02 Sentiment Analysis with an RNN
9 Final Project, Transfer Learning Classifying Oxford 102 Flowers (DenseNet169, DenseNet201, etc.)
- Cousera Data Science Capstone Project - Text Input Prediction ██████████ 100%
Version 1
Version 2 - Coursera Data Science Simple Shiny App Chinese Cities ██████████ 100%
- Coursera Data Science Simple Shiny App US Census 2010 ██████████ 100%
- Coursera Data Scicence Simple Slidify Presentation Chinese Cities ██████████ 100%
- How to Build Bots with SAP Intelligent Robotic Process Automation (rpa2) (3 hours/week * 4 weeks) 2019-12-18
- Key Functional Topics in a System Conversion to SAP S/4HANA (s4h15) (3 hours/week * 4 weeks) 2019-12-12
- Introduction to Statistics for Data Science (ds0) (3 hours/week * 6 weeks) 2019-11-28
- Introduction to SUSE Linux Enterprise Server (SLES) (2 hours/week * 4 weeks) 2019-11-19
- SAP Leonardo - Enabling the Intelligent Enterprise (leo1) (2 hours)
- Procurement Transformation with SAP Ariba and SAP S/4HANA (Repeat)(srm1-1) (3 hours/week * 3 weeks)
- SAP Leonardo Design-Led Engagements Demystified (dleo1) (2 hours)
- SAP HANA Data Management Suite - Strategy Talk (hdms1) (1 hours)
- Analytics with SAP Cloud Platform (cp6) (4 hours/week * 4 weeks)
- Analyzing Connected Data with SAP HANA Graph (hsgra1) (4 hours)
- SAP Business ByDesign Project-Based Services (byd5) (3 hours/week * 5 weeks)
- Object-Oriented Programming in Java (java1) (6 hours/weeks * 6 weeks)
- Digital Transformation Across the Extended Supply Chain (escm2) (3 hours/week * 6 weeks)
- Transformation to Hybrid Landscapes (hybrid1) (3 hours/week * 5 weeks)
- Next Steps in SAP HANA Cloud Platform (hanacloud2) (5 hours/week * 6 weeks)
- Introduction to Software Development on SAP HANA (hana1) (4 hours/week * 6 weeks)
- Secure and Private AI Scholarship Challenge (3 months, 120 hours) 1/7 █▓░░░░░░░░░░ 14%
- Pytorch Scholarship Challenge (2 months, 120 hours) ██████████ 100%
- Introduction to Computer Science (February 2012) (22 Lessons)
- Intro to Artificial Intelligence (November 2011) (2 months, 80 hours)
👉 【Deep Learning Specialization】 Repository (7 courses, 11 hours/weeks * 13 weeks) ████░░░░░░░░ 36%
- Precourse 1. AI For Everyone
- Precourse 2. Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
- 1. Neural Networks and Deep Learning
- 2. Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization
- 3. Structuring Machine Learning Projects
- 4. Convolutional Neural Networks
- 5. Sequence Models
👉 【Data Science Specialization】 Repository (10 courses, 400 hours) ██████████ 100%
- 1. The Data Scientist’s Toolbox
- 2. R Programming
- 3. Getting and Cleaning Data
- 4. Exploratory Data Analysis
- 5. Reproducible Research
- 6. Statistical Inference
- 7. Regression Models
- 8. Practical Machine Learning
- 9. Developing Data Products
- 10. Data Science Capstone Repostiory
- Preparing for Machine Learning Interview Questions in Python (4 hours, 16 Videos, 60 Exercises, 1,183 Participants) 2019-12-02
- Advanced NLP with spaCy (5 hours, 15 Videos, 55 Exercises, 4,719 Participants) 2019-09-19 [Colab Notebook]
- Introduction to Seaborn (4 hours, 14 Videos, 44 Exercises, 375 Participants) 2019-05-20
- Working with Dates and Times in Python (4 hours, 14 Videos, 48 Exercises, 790 Participants) 2019-05-17
👉【Data Scientist with Python】 (22 courses, 84 hours) 
- 1. Introduction to Python (4 hours, 11 Videos, 57 Exercises)
- 2. Intermediate Python for Data Science (4 hours, 18 Videos, 87 Exercises) 2019-05-28
- 3. Python Data Science Toolbox (Part 1) (3 hours 12 Videos, 46 Exercises)
2019-05-19
- SAP HANA Implementation, Modeling and Reporting Course (115 lectures, 26 hours)
- SAP S/4HANA Training - in Plain English (54 lectures, 7 hours)
- The Business Intelligence Analyst Course 2019 (405 lectures, 19 hours)
- SAP BW 7.4 ZERO TO HERO - MODELING (55 lectures, 11 hours) █░░░░░░░░░░░░ 2%
- SAP BI /SAP Business Objects Web Intelligence (26 lectures, 4 hours)
- The Business Intelligence Analyst Course 2019 (405 lectures, 19 hours)
- Learn SAP BEx Analyzer - Training Course (59 lectures, 11 hours)
- SAP MM Training - in Plain English (200 lectures, 26 hours)
- SAP SD Training - in Plain English (132 lectures, 31.5 hours)
- SAP SD Advanced Trainin (55 lectures, 10.5 hours)
2019-05-20
- Tableau 2019, 2018 & 10: Certified Associate certification (131 lectures, 11.5 hours)
2019-05-19
- The Data Science Course 2019: Complete Data Science Bootcamp (436 lectures, 26 hours)
- Python for Data Science and Machine Learning Bootcamp (149 lectures, 22.5 hours)
- Data Science Interview Preparation - Career Guide (23 lectures, 4 hours)
2019-05-20
- Deployment of Machine Learning Models (121 lectures, 8 hours)
- AWS Certified Solutions Architect - Associate 2019 (211 lectures, 32.5 hours)
- Learn Ethical Hacking From Scratch (140 lectures, 14.5 hours)
- Algorithms
- Journey into cryptography
- Journey into information theory
- How Computers Work
- Internet 101
👉 【AWS】
- Overview on Data Lakes (Data Lakes & Analytics, 6 Webinars, 4 Hours) Slides 2019-12-25 ██████████ 100%