claval's Stars
MachineLearnia/Python-Machine-Learning
Tous les codes utilisés dans la série YouTube Python Spécial Machine Learning !
georgearun/Data-Science--Cheat-Sheet
Cheat Sheets
krishnaik06/Types-Of-Cross-Validation
vaasha/Machine-leaning-in-examples
Contains notebooks which can explain machine learning problem on examples
krishnaik06/All-Hyperparamter-Optimization
MachineLearnia/Regression-logistique-numpy
hundredblocks/ml-powered-applications
Companion repository for the book Building Machine Learning Powered Applications
josephmisiti/awesome-machine-learning
A curated list of awesome Machine Learning frameworks, libraries and software.
jbrownlee/Datasets
Machine learning datasets used in tutorials on MachineLearningMastery.com
georgymh/ml-fraud-detection
Credit card fraud detection through logistic regression, k-means, and deep learning.
justmarkham/scikit-learn-tips
:robot::zap: 50 scikit-learn tips
maziarizadi/KaggleFraudDetection
Credit Card Fraud Detection - Anonymized credit card transactions labeled as fraudulent or genuine
scikit-learn/scikit-learn
scikit-learn: machine learning in Python
datasciencescoop/Data-Science--Cheat-Sheet
Cheat Sheets
ipython/ipynb
Package / Module importer for importing code from Jupyter Notebook files (.ipynb)
ageron/ageron.github.io
from ageron import random
thibo73800/tensorflow2.0-examples
Jupyter notebooks to help you started with tensorflow 2.0
adashofdata/nlp-in-python-tutorial
comparing stand up comedians using natural language processing
clair513/Seaborn-Tutorial
This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.
tweepy/tweepy
Twitter for Python!
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"