alysatan's repositories
Machine-Learning-Workflow-with-Python
This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
cs231n.github.io
Public facing notes page
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
Generative-Adversarial-Networks
Tutorial on GANs
kaggle-regression
A compiled list of kaggle competitions and their winning solutions for regression problems.
or-tools-playground
having fun with Google or-tools
pwc
Papers with code. Sorted by stars. Updated weekly.
pyspark-tutorial
PySpark-Tutorial provides basic algorithms using PySpark
python-cv-samples
Python computer vision samples
simple-neural-network
A simple Python script showing how the backpropagation algorithm works.
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
stanford-cs-230-deep-learning
VIP cheatsheets for Stanford's CS 230 Deep Learning
TagUI
CLI tool for digital process automation (RPA)
TimeSeriesAnalysiswithPython
Time Series Analysis with Python