Skip to content
/ 30-for-30-ml-projects Public

Each 30 days I focus on a different area of machine learning by building projects, reading papers or writing a blog. This repo contains my findings, learnings and frustrations

0 stars 1 fork Branches Tags Activity
Star
Notifications You must be signed in to change notification settings

silvererudite/30-for-30-ml-projects

BranchesTags

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

205 Commits
GAN_projects
GAN_projects
 
 
blogs
blogs
 
 
data-scripts
data-scripts
 
 
demos
demos
 
 
kaggle-competitions
kaggle-competitions
 
 
language-understanding
language-understanding
 
 
paper-study
paper-study
 
 
pytorch-tuts
pytorch-tuts
 
 
supervised
supervised
 
 
time-series
time-series
 
 
unsupervised-learning
unsupervised-learning
 
 
unsupervised
unsupervised
 
 
vision_understanding
vision_understanding
 
 
visualizations
visualizations
 
 
Applying a deep NN.ipynb
Applying a deep NN.ipynb
 
 
Copy_of_extract_colors_from_image.ipynb
Copy_of_extract_colors_from_image.ipynb
 
 
README.md
README.md
 
 
analyzing-ticket-data-fromredshift.ipynb
analyzing-ticket-data-fromredshift.ipynb
 
 
applying-regularization-dropout.ipynb
applying-regularization-dropout.ipynb
 
 
building rnn in numpy.ipynb
building rnn in numpy.ipynb
 
 
building-deepNN-from-scratch.ipynb
building-deepNN-from-scratch.ipynb
 
 
builing-convnet-np.ipynb
builing-convnet-np.ipynb
 
 
different-initialization-methods.ipynb
different-initialization-methods.ipynb
 
 
implement-resnet.ipynb
implement-resnet.ipynb
 
 
log-reg-as-neural-net.ipynb
log-reg-as-neural-net.ipynb
 
 
nn-in-tensorflow.ipynb
nn-in-tensorflow.ipynb
 
 
object-detection-yolo.ipynb
object-detection-yolo.ipynb
 
 
one-hidden-layer.ipynb
one-hidden-layer.ipynb
 
 
optimization-methods.ipynb
optimization-methods.ipynb
 
 
pandas_numpy_snippets.ipynb
pandas_numpy_snippets.ipynb
 
 

Repository files navigation

30-for-30-ml-projects

This repo is a repertoire of my ML projects where I dedicate 30 days to popular fields of interest in machine learning. They may include coding a project, creating a blog post or implementing a paper of a machine learning concept.

About

Each 30 days I focus on a different area of machine learning by building projects, reading papers or writing a blog. This repo contains my findings, learnings and frustrations

Topics

machine-learning computer-vision tensorflow numpy pandas data-visualization kaggle image-classification gradio

Resources

Readme
Activity

Stars

0 stars

Watchers

3 watching

Forks

1 fork
Report repository

Releases

No releases published

Packages

No packages published

Languages