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ai-matchmaker

Matchmaking profiles using Unsupervised Machine Learning and NLP

ames_housing_price_pred_kaggle

anomaly_pyod

Anomaly detection algorithms using pyOD

automatic_sampler

Python script for sampling SVN, Git, SAP or Excel files based on input parameters.

awesome-streamlit

The purpose of this project is to share knowledge on how awesome Streamlit is and can be

bachelorthesis

Codes for Bachelorthesis

c9-python-getting-started

Sample code for Channel 9 Python for Beginners course

clustering_notebooks

Overview of different ML-clustering algorithms.

completed-coursera-courses

Repo for all completed Coursera courses

coursera-linear-algebra

Mathematics for Machine Learning: Linear Algebra by Imperial College London on Coursera

dask-tutorial

Dask tutorial

data-analysis-with-r

Using gglot2, tidyr, dplyr, ggmap, choroplethr, shiny, logistic regression, clustering models and more

data-science--cheat-sheet

Cheat Sheets

data-visualization

Collection of interactive Jupiter Notebook widgets and graphs.

datacamp

datadrivencv

R package for building customizable CVs from spreadsheets

deeplearningbook-notes

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

deployment-heroku

Deployment Heroku

depth-estimation

Master's thesis

dl-workshop

A deep learning workshop, done from scratch, taught without any frameworks.

dsc-feature-scaling-and-normalization-dc-ds-100719

engcomp4_landlinear

Using computational thinking to get deep insights on the foundations of linear algebra

fuzzy_string-with-python

hands-on-machine-learning-for-algorithmic-trading

Hands-On Machine Learning for Algorithmic Trading, published by Packt

instancesegmentation_sentinel2

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

machine-learning-for-trading

Code and resources for Machine Learning for Algorithmic Trading, 2nd edition.

machine-learning-web-apps

Building and Embedding Machine Learning Model into a Web App(With Flask,Streamlit,etc)

master-thesis-bayesiancnn

Master Thesis on Bayesian Convolutional Neural Network using Variational Inference

memory_reduction

Python-script for reducing memory of a dataframe without loosing information.

ml-from-scratch

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.