770 Open source projects that are alternatives of or similar to data-science-learning

A collection of ML related stuff including notebooks, codes and a curated list of various useful resources such as books and softwares. Almost everything mentioned here is free (as speech not free food) or open-source.

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

NLP Specialization (Natural Language Processing) made by deeplearning.ai

Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

Collection of Kaggle Datasets ready to use for Everyone (Looking for contributors)

👑 Python factor analysis library (PCA, CA, MCA, MFA, FAMD)

Implementations of machine learning algorithm by Python 3

Stanford University - Machine Learning by Andrew Ng

Solution of the Titanic Kaggle competition

A collection of notebooks of my Machine Learning class written in python 3

Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!

Machine Learning and Reinforcement Learning in Finance New York University Tandon School of Engineering

🤖 Places where you can learn robotics (and stuff like that) online 🤖

Credit Card Fraud Detection using ML: IEEE style paper + Jupyter Notebook

Final project of IBM's course https://www.coursera.org/learn/machine-learning-with-python on coursera

A repository for recording the machine learning code

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

A course to learn how to code a mobile app - for complete beginners

Code for determining optimal number of clusters for K-means algorithm using the 'elbow criterion'

No description or website provided.

Concept Bottleneck Models, ICML 2020

Tools that make working with scikit-learn and pandas easier.

R package: parallel computing toolset for relatedness and principal component analysis of SNP data (Development Version)

A MATLAB toolbox for classifier: Version 1.0.7

Facial Expression Recognition

simple Echo State Networks integrated with scikit-learn

Algorithmic trading using machine learning.

Python for chemoinformatics

Accompanying notebook and sources to "A Guide to Pseudolabelling: How to get a Kaggle medal with only one model" (Dec. 2020 PyData Boston-Cambridge Keynote)

Kaggle 120种狗分类，Gluon实现

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Comparing FC VAE / FCN VAE / PCA / UMAP on MNIST / FMNIST

Machine learning in Python with scikit-learn MOOC

Earthquake Prediction Challenge with LightGBM and XGBoost

My textbook for teaching Machine Learning

<Do it! 딥러닝 입문> 도서의 주피터 노트북

A module for allowing the use of multiple metric functions in scikit's cross_val_score

Open solution to the Cdiscount’s Image Classification Challenge

Content on tips, tricks, advice, practices for naming things in in software/technology

A Python package for fitting Quinlan's Cubist regression model

No description or website provided.

Kaggle "Microsoft Malware Classification Challenge". 6th place solution

python codes for remote sensing applications will be uploaded here. I will try to teach everything I learn during my projects in here.

Companion source code for "Programming with C++20 - Concepts, Coroutines, Ranges, and more"

Code for reproducing 2nd place solution for Kaggle competition IEEE's Signal Processing Society - Camera Model Identification

📖 Free online courses resources.

Helm charts for creating reproducible and maintainable deployments of Polyaxon with Kubernetes.

CNN histopathologic tumor identifier.

Source code for the ACL workshop paper and Kaggle competition by Google AI team

A library to parse and convert PMML models into Scikit-learn estimators.

Create SSH tunel to a running colab notebook

Aircraft engine failure prediction model

Pan-sharpening in the Earth Engine code editor

Gaussian Mixture Convolutional AutoEncoder applied to CT lung scans from the Kaggle Data Science Bowl 2017

Data Science projects on various problem statements and datasets using Data Analysis, Machine Learning Algorithms, Deep Learning Algorithms, Natural Language Processing, Business Intelligence concepts by Python

A collection of my blogs on Data Science and Machine learning.

This is the Python implementation of the programming assignments in Andrew Ng's online machine-learning course.