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aifh

Artificial Intelligence for Humans

amazon-reviews-machine-learning

Source of data = https://www.kaggle.com/snap/amazon-fine-food-reviews

applied-machine-learning

https://github.com/Aniruddha-Tapas/Applied-Machine-Learning.git

avito-kaggle

Repository for my Kaggle Solution to the Avito competition

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

course_programming_assignments

My Solutions to Programming Assignments of Artificial Intelligence, Machine Learning and Digital Image Processing

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to github repos, papers and others.

data-science-from-linkedin

This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.

examples

Tutorials and code samples for integrating with MissingLink

exploratory-data-analytics

Data Science Learning week with UpGrad.com - using Python, NumPy, Pandas and other libraries.

feature-engineering-and-feature-selection

A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.

fundamentals-of-scalable-data-science

This repository has the solution to assignments for the course Fundamentals-of-Scalable-Data-Science by IBM on Coursera for future reference. It was a great learning experience and I would not want any other learners to take reference from the same and do them on their own.

google-landmark-recognition-2020-3rd-place-solution

halite3rl

A reinforcement learning bot for the Halite III programming competition https://halite.io/

hashsgd

Multi-label logistic regression model with feature hashing and adaptive learning rate.

heroku-demo

hub

A library for transfer learning by reusing parts of TensorFlow models.

imbalancedneural-network

interactive-coding-challenges

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

introstatlearning

Solutions to exercises from the book "Introduction to Statistical Learning"

kaggle-past-solutions

A searchable compilation of Kaggle past solutions

kalman-and-bayesian-filters-in-python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

keras---cnn

machine-learning-course

R code for the assignments of Coursera machine learning course

ml-from-scratch

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

ml-workshop-1-of-4

Introduction to Machine learning with Python, 4h interactive workshop

mlpb

Machine Learning Problem Bible | Problem Set Here >>

mnist-em-bmm-gmm

MNIST handwritten digits clustering using a Bernoulli Mixture Model and a Gaussian Mixture Model

modeldb

Open Source ML Model Versioning, Metadata, and Experiment Management

movie-recommendations

Recommend movies to users by RBMs, TruncatedSVD, Stochastic SVD and Variational Inference