Collection of mini-projects and assignments I made, majority of which were for understanding how something works, comparing similar examples, or making generalized functions etc.
most of these are exploratory, i.e. I play with variable factors to find optimal solutions to the problem
// ROUGH //
Progress status - migrating assignment files from google colab to this repo
LOG:
(21/7/22) uploading 2-3 files/day
you can check out any of the notebooks below in my google drive folder (https://drive.google.com/drive/folders/1DOp1o6nz4pwzRItAKsFfBjNwtgzkR3-j?usp=sharing)
files to upload:
01_EDA
02_title_model
03_text_model
04_multi-input
AI&ML7b - random forest regression (vs other regression models) #missing effects of shuffling training samples
AI&ML1 - reading & visualizing various data formats
AI&ML2a - image standardizing
AI&ML2b - ??
AI&ML3a - matrix operations
AI&ML3b - statistical metrics and data visualization
AI&ML4a - linear regression implementation
AI&ML4b - multiple linear regression implementation
AI&ML5a - logistic regression implementation
AI&ML5b - logistic regression implementation (cont.)
AI&ML6a - linear regression vs perceptron and logistic regression
HPC10 - fake news detection
AI&ML6b - preprocessing and evaluation metrics for regression and classification models
AI&ML7a - playing with decision trees
AI&ML9a - various classification models
AML1 - ?? too small
AM:2 - polynomial regression