Posts by categories
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Mathematics
- Hackerrank 1: 10 days of statistics 03 Apr 2019
- Numerical analysis 2 18 Sep 2018
- Linear Algebra 1 30 Aug 2018
- Analysis general note 3 04 Aug 2018
- Numerical analysis 1 02 Jan 2018
- Fluid dynamics 27 Mar 2017
- Quick definitions + notations 21 Mar 2017
- Compact, Banach, Hibert, Sobolev spaces 21 Mar 2017
- Analysis general note 2 21 Mar 2017
- Analysis general note 1 21 Mar 2017
Others
Infomation Technology
- Python PluralSight 1 02 Apr 2019
- Linux notes 26 Jan 2019
- Git - Github - Gitlab notes 28 Nov 2018
- IT tips 21 Oct 2018
- Shortcuts for editors 08 Oct 2018
- Python 0 : Docs & Settings 25 Sep 2018
- Matlab note 24 Sep 2018
- Python 2 : Tricks 18 Sep 2018
- Python 1 : Fundamentals 17 Sep 2018
- FreeFem++ note 17 Sep 2018
- Python 3 05 Sep 2018
- Python Exercism 1 23 Aug 2018
- C++ note 28 Jun 2018
- LaTeX notes 31 Mar 2018
Data Science
- IBM Data Course 8: Machine Learning with Python 15 Apr 2019
- IBM Data Course 7: Data Visualization with Python 14 Apr 2019
- IBM Data Course 6: Data Analysis with Python 13 Apr 2019
- IBM Data Course 5: Databases and SQL for Data Science (Week 3 & Week 4) 08 Apr 2019
- DataQuest - Data Engineer 1: Postgres for Data Engineers 07 Apr 2019
- IBM Data Course 5: Databases and SQL for Data Science (Week 1 & Week 2) 06 Apr 2019
- IBM Data Course 4: Python for Data Science 03 Apr 2019
- IBM Data Course 3: Data Science Methodology 03 Apr 2019
- IBM Data Course 1 & 2: What is Data Science & Open Source tools for Data Science 20 Mar 2019
- Links: Data Science & Machine Learning 22 Oct 2018
- DataQuest 4: Step 2 - Data Cleaning 17 Oct 2018
- DataQuest 3: Step 2 - Data Visualization (Exploratory & Stotytelling) 10 Oct 2018
- Data Science 1 10 Oct 2018
- DataQuest 2: Step 2 - Pandas and Numpy fundamentals 25 Sep 2018
- DataQuest 1: Step 1 - Python Introduction 09 Sep 2018
- Python Pandas 05 Sep 2018
- Python NumPy 05 Sep 2018
- Python matplotlib 05 Sep 2018
- Titanic - Machine Learning from Disaster 1 18 Apr 2018
Machine Learning
- IBM Data Course 8: Machine Learning with Python 15 Apr 2019
- ML Coursera 9 - Week 9: Anomaly Detection & Recommender Systems 03 Nov 2018
- ML Coursera 8 - Week 8: Unsupervised Learning 27 Oct 2018
- Links: Data Science & Machine Learning 22 Oct 2018
- ML Coursera 7 - Week 7: Support Vector Machines 20 Oct 2018
- ML Coursera 1 - Week 1: Introduction 12 Oct 2018
- ML Coursera 6 - Week 6: Advice for Applying Machine Learning 11 Oct 2018
- Data Science 1 10 Oct 2018
- Machine Learning 1 07 Oct 2018
- ML Coursera 5 - Week 5: Neural Networks - Learning 26 Sep 2018
- ML Coursera 4 - Week 4: Neural Networks - Representation 16 Sep 2018
- ML Coursera 3 - Week 3: Logistic Regression 11 Sep 2018
- Python NumPy 05 Sep 2018
- ML Coursera 2 - Week 2: Linear Regression with Multiple Variables 01 Sep 2018
- ML Udemy 2 - Regression 23 Apr 2018
- ML Udemy 1 - data preprocessing 23 Apr 2018
- Titanic - Machine Learning from Disaster 1 18 Apr 2018
NoteTheme
Python
- IBM Data Course 8: Machine Learning with Python 15 Apr 2019
- IBM Data Course 7: Data Visualization with Python 14 Apr 2019
- IBM Data Course 6: Data Analysis with Python 13 Apr 2019
- Codecademy - Python 1 13 Apr 2019
- IBM Data Course 5: Databases and SQL for Data Science (Week 3 & Week 4) 08 Apr 2019
- DataQuest - Data Engineer 1: Postgres for Data Engineers 07 Apr 2019
- IBM Data Course 5: Databases and SQL for Data Science (Week 1 & Week 2) 06 Apr 2019
- Hackerrank 2: 30 days of code 03 Apr 2019
- Hackerrank 1: 10 days of statistics 03 Apr 2019
- Python PluralSight 1 02 Apr 2019
- DataQuest 4: Step 2 - Data Cleaning 17 Oct 2018
- DataQuest 3: Step 2 - Data Visualization (Exploratory & Stotytelling) 10 Oct 2018
- Python 0 : Docs & Settings 25 Sep 2018
- DataQuest 2: Step 2 - Pandas and Numpy fundamentals 25 Sep 2018
- Python 2 : Tricks 18 Sep 2018
- Python 1 : Fundamentals 17 Sep 2018
- DataQuest 1: Step 1 - Python Introduction 09 Sep 2018
- Python Pandas 05 Sep 2018
- Python 3 05 Sep 2018
- Python NumPy 05 Sep 2018
- Python matplotlib 05 Sep 2018