kev-kutkin Goto Github PK

italy_dash

A summary dashboard of the covid19 cases in Italy

javascript-algorithms

📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings

k-means-clustering

k-nearest-neighbor

kaggle

My journey through kaggle, also as a reference for data cleaning, feature engineering & machine learning piplines

kaggle_mastery

Kaggle is a place where you can prove your Data Science Skills. Follow me on my journey to become a Grand a Master.

keras-gan

Keras implementations of Generative Adversarial Networks.

kev-kutkin

A site where my portfolio can have a place. Really!

kit11

learning-from-imbalanced-classes

Learning From Imbalanced Classes

learning-python-with-aaron-maxwell

lstm-neural-network-for-time-series-prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

machine-learning

machine-learning-course

:speech_balloon: Machine Learning Course with Python:

machine-learning-in-90-days

machine-learning-surveys

A curated list of Machine Learning Surveys, Tutorials and Books.

machine-learning-with-python

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

machine_learning_bootcamp

machine_learning_examples

A collection of machine learning examples and tutorials.

malaria-detection

marketing-data-science

Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics include Markov chains, A/B testing, customer segmentation, and machine learning models (logistic regression, support vector machines, and quadratic discriminant analysis).

mat2vec

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

math-as-code

a cheat-sheet for mathematical notation in code form

matplotlib-cheatsheet

Matplotlib 3.1 cheat sheet.

mibio-ocr-dataset

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

ml-foundations

Machine Learning Foundations: Algebra, Calculus, Statistics & Computer Science

ml-from-scratch

All the ML algorithms, ML models are coded from scratch by pure Python/Numpy with the Math under the hood. It works well on CPU.

ml-from-scratch-1

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.

ml-glossary

Machine learning glossary