1994 Open source projects that are alternatives of or similar to Data-Scientist-In-Python

A guide to getting started with Data Science and ML.

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

Automatic feature engineering using Generative Adversarial Networks using Deeplearning4j and Apache Spark.

A fast xgboost feature selection algorithm

All the slides, accompanying code and exercises all stored in this repo. 🎈

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Plant Disease Identification Using Convulutional Neural Network

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

List of Data Science and Machine Learning Resource that I frequently use

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

I will update this repository to learn Machine learning with python with statistics content and materials

【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

anomaly detection with anomalize and Google Trends data

The Cutest Deep Learning Framework which is also a wonderful Declarative Language

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.

📚 [.md & .ipynb] Series of Artificial Intelligence & Deep Learning, including Mathematics Fundamentals, Python Practices, NLP Application, etc. 💫 人工智能与深度学习实战，数理统计篇 | 机器学习篇 | 深度学习篇 | 自然语言处理篇 | 工具实践 Scikit & Tensoflow & PyTorch 篇 | 行业应用 & 课程笔记

yet another custom data science template via cookiecutter

A curated list of applied machine learning and data science notebooks and libraries across different industries.

Data-centric declarative deep learning framework

Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deployment as a RESTful service on Kubernetes.

This repositary is a combination of different resources lying scattered all over the internet. The reason for making such an repositary is to combine all the valuable resources in a sequential manner, so that it helps every beginners who are in a search of free and structured learning resource for Data Science. For Constant Updates Follow me in …

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

主要是爬虫与数据分析项目总结，外加建模与机器学习，模型的评估。

단국대 SW중심대학 2020년도 오픈소스SW설계 - 캐글뽀개기 수업 일정 및 강의자료

Heart Disease prediction using 5 algorithms

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

Comet-For-MLFlow Extension

Library packs for google cloud functions

No description or website provided.

Soomvaar is the repo which 🏩 contains different collection of 👨‍💻🚀code in Python and 💫✨Machine 👬🏼 learning algorithms📗📕 that is made during 📃 my practice and learning of ML and Python✨💥

No description or website provided.

Facial Expression Recognition

Can we predict accurately on the skewed data? What are the sampling techniques that can be used. Which models/techniques can be used in this scenario? Find the answers in this code pattern!

I am sharing my Journey of 66DaysofData in Natural Language Processing.

Tensorflow Implementation of FaceNet: A Unified Embedding for Face Recognition and Clustering to find the celebrity whose face matches the closest to yours.

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.

Repository for the projects needed to complete the Data Analyst Nanodegree.

Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices

Data ETL & Analysis on the global and Mexican datasets of the COVID-19 pandemic.

My GitHub blog: things you might be interested, and probably not...

Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum

Engezny is a python package that quickly generates all possible charts from your dataframe and saves them for you, and engezny is only supporting now uni-parameter visualization using the pie, bar and barh visualizations.

DatScan is an initiative to build an open-source CMS that will have the capability to solve any problem using data Analysis just with the help of various modules and a vast standardized module library

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

도서 "[개정판] 파이썬 라이브러리를 활용한 머신 러닝"의 주피터 노트북과 코드입니다.

Using Kaggle Data and Real World Data for Data Science and prediction in Python, R, Excel, Power BI, and Tableau.

Recognition of Sign Language using Capsule Networks

Dynamic Programming implemented in Rcpp. Includes example partition and out of sample fitting applications.

A scalable general purpose micro-framework for defining dataflows. You can use it to create dataframes, numpy matrices, python objects, ML models, etc.

Implementation of key concepts of neuralnetwork via numpy

Top 5th percentile solution to the Kaggle knowledge problem - Bike Sharing Demand

SADDLE: Scala Data Library

Type4Py: Deep Similarity Learning-Based Type Inference for Python

There are C language computer programs about the simulator, transformation, and test statistic of continuous Bernoulli distribution. More than that, the book contains continuous Binomial distribution and continuous Trinomial distribution.

do more with dbt. fal helps you run Python alongside dbt, so you can send Slack alerts, detect anomalies and build machine learning models.

2.5k code solutions with clear explanation @ onelinerhub.com

ML Research paper summaries, annotated papers and implementation walkthroughs

The Fuzzy Labs guide to the universe of open source MLOps