michelledo94's Stars
qx0731/Sharing_ISL_python
An Introduction to Statistical Learning with Applications in PYTHON
lmoroney/dlaicourse
Notebooks for learning deep learning
mbadry1/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.
rushter/MLAlgorithms
Minimal and clean examples of machine learning algorithms implementations
jayshah19949596/CodingInterviews
This repository contains coding interviews that I have encountered in company interviews
h1st-ai/h1st
Power Tools for AI Engineers With Deadlines
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
jmcarpenter2/swifter
A package which efficiently applies any function to a pandas dataframe or series in the fastest available manner
LiYangHart/Hyperparameter-Optimization-of-Machine-Learning-Algorithms
Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
PreferredAI/tutorials
A tutorial series by Preferred.AI
eleafeit/testandroll
Replication Files for Feit and Berman (2019) Test & Roll: Profit-Maximizing A/B Tests, Marketing Science.
sharmasw/Data-Science-with-python
This repo has all the required materials of the Data science with python video series.
jusliu9547/Machine-learning-by-Andrew-Ng
scikit-learn-contrib/polylearn
A library for factorization machines and polynomial networks for classification and regression in Python.
bokeh/bokeh
Interactive Data Visualization in the browser, from Python
dibgerge/ml-coursera-python-assignments
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
tianqwang/Quora-Insincere-Questions-Classification
45th Place Solution of the Quora insincere questions classification competition in Kaggle.
llSourcell/Learn_Data_Science_in_3_Months
This is the Curriculum for "Learn Data Science in 3 Months" By Siraj Raval on Youtube
wzchen/probability_cheatsheet
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
fastai/fastbook
The fastai book, published as Jupyter Notebooks
raffg/multi_armed_bandit
Monte Carlo simulations of several different multi-armed bandit algorithms and a comparison with classical statistical A/B testing
WillKoehrsen/automated-feature-engineering
Automated feature engineering in Python with Featuretools
kellypeng/scentmate_rec
Built a fragrance recommender using multiple machine learning algorithms to help people find their perfect match. The final deliverable was a webapp.
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
statsmodels/statsmodels
Statsmodels: statistical modeling and econometrics in Python
eleafeit/ab_test
Advanced A/B Testing Workshop
cs231n/cs231n.github.io
Public facing notes page
google-research/bert
TensorFlow code and pre-trained models for BERT
JifuZhao/DS-Take-Home
My solution to the book A Collection of Data Science Take-Home Challenges