Posts by categories
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Mathematics
- Stats 2 13 Aug 2019
- Stats 1 11 Aug 2019
- Hackerrank 1: 10 days of stats 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
Infomation Technology
- Python 0 : Docs & Settings 27 Aug 2019
- IT tips 09 Aug 2019
- Linux notes 26 Jan 2019
- Git - Github - Gitlab notes 28 Nov 2018
- Shortcuts for editors 08 Oct 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
- LaTeX notes 31 Mar 2018
Machine Learning
- DL Coursera 1 - NN & DL - W1: Intro to DL 31 Aug 2019
- fast.ai: Intro to ML for Coders 1 28 Aug 2019
- Stats 2 13 Aug 2019
- Stats 1 11 Aug 2019
- IBM Data Course 9: Applied DS Capstone 17 May 2019
- IBM Data Course 8: ML with Python (w4 to w6) 26 Apr 2019
- IBM Data Course 8: ML with Python (w1 to w3) 23 Apr 2019
- ML Coursera 9 - w9: Anomaly Detection & Recommender Systems 03 Nov 2018
- ML Coursera 8 - w8: Unsupervised Learning 27 Oct 2018
- Links: DS & ML 22 Oct 2018
- ML Coursera 7 - w7: SVM 20 Oct 2018
- ML Coursera 1 - w1: Introduction 12 Oct 2018
- ML Coursera 6 - w6: Advice for Applying ML 11 Oct 2018
- DS 1 10 Oct 2018
- Machine Learning 1 07 Oct 2018
- ML Coursera 5 - w5: NN - Learning 26 Sep 2018
- ML Coursera 4 - w4: NN - Representation 16 Sep 2018
- ML Coursera 3 - w3: Logistic Regression 11 Sep 2018
- Python NumPy 05 Sep 2018
- ML Coursera 2 - w2: Linear Regression with Multiple Variables 01 Sep 2018
Data Science
- Stats 2 13 Aug 2019
- Stats 1 11 Aug 2019
- Codecademy - DS 1 24 Jul 2019
- DataQuest - Data Engineer 1: Postgres for Data Engineers 23 May 2019
- IBM Data Course 9: Applied DS Capstone 17 May 2019
- IBM Data Course 8: ML with Python (w4 to w6) 26 Apr 2019
- IBM Data Course 8: ML with Python (w1 to w3) 23 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 DS (w3-w4) 08 Apr 2019
- IBM Data Course 5: Databases and SQL for DS (w1-w2) 06 Apr 2019
- IBM Data Course 4: Python for DS 03 Apr 2019
- IBM Data Course 3: DS Methodology 03 Apr 2019
- IBM Data Course 1 & 2: What is DS & Open Source tools for DS 20 Mar 2019
- Links: DS & ML 22 Oct 2018
- DataQuest 4: Step 2 - Data Cleaning 17 Oct 2018
- DataQuest 3: Step 2 - Data Visualization (Exploratory & Stotytelling) 10 Oct 2018
- DS 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
Python
- Python 0 : Docs & Settings 27 Aug 2019
- The HackerRank Interview Preparation Kit 1 27 Aug 2019
- DataQuest - Data Engineer 1: Postgres for Data Engineers 23 May 2019
- IBM Data Course 9: Applied DS Capstone 17 May 2019
- Codecademy - Python 09 May 2019
- IBM Data Course 8: ML with Python (w4 to w6) 26 Apr 2019
- IBM Data Course 8: ML with Python (w1 to w3) 23 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 DS (w3-w4) 08 Apr 2019
- IBM Data Course 5: Databases and SQL for DS (w1-w2) 06 Apr 2019
- Hackerrank 1: 10 days of stats 03 Apr 2019
- DataQuest 4: Step 2 - Data Cleaning 17 Oct 2018
- DataQuest 3: Step 2 - Data Visualization (Exploratory & Stotytelling) 10 Oct 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