shirwansany
chemist l environmentalist l minimalist l datascientist l digitalnomad
Contact me via [email protected]
Journey to data analytics | Day 7 - Variables in python for #100daysofcode
Journey to data analytics | Day 6 - Count the string with len() function
Journey to data analytics | Day 5 - How to code input function in python
Journey to data analytics | Day 4 - Debugging errors, single & double quotes, & backslash n
Journey to data analytics | Day 3 - String concatenation and code intelligence in Python IDE
Journey to data analytics | Day 2 - Printing function
Journey to data analytics | 100 Days of Code: The Complete Python Pro Bootcamp 2023 | Replit review
Journey to data analytics | Discriminant analysis to differentiate species (in Malay)
Journey to data analytics | Partial least square - Discriminant analysis via XLSTAT
Journey to data analytics | How to find the directory of python files in computer
Journey to data analytics | How to create #headings or #titles in #markdown of #python
How to report the chemical composition of a sample via #GCMS
Determining concentration of compound using #GCMS
Journey to data analytics | List with range functions
Journey to data analytics | Authentication of oils via FTIR and multivariate data analysis
Journey to data analytics | Discriminant analysis and multiple linear regression
Journey to data analytics | Data pre processing, principal component analysis and cluster analysis
Journey to data analytics | How to code for 'while loops' and incrementing
Journey to data analytics | How to code 'For loops'
Mendeley | Create folder & use search engine
Mendeley | Installing Mendeley & cite your first reference
Journey to data analytics | How to make list in phyton
Journey to data analytics | Index method for list via phyton
Journey to data analytics | Jupyter lab vs Jupyter notebook
Journey to data analytics | Installing Streamlit via Anaconda navigator
How to submit exam answer/assignment via Google Classroom
Component of GCTOFMS
Identification of sample using FTIR
Journey to data analytics | Principal component analysis (PCA) - Part 4