6715 Open source projects that are alternatives of or similar to Python Ml Course

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

An open-source, low-code machine learning library in Python

Drag’n’drop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js

Regression, Scrapers, and Visualization

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Probabilistic reasoning and statistical analysis in TensorFlow

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

A repository for the source code, notebooks, data, files, and other assets used in the data science and machine learning articles on LearnDataSci

¡Camino a una educación autodidacta en Ciencia de Datos!

[tutorial]A functional, Data Science focused introduction to Python

H2O.ai Machine Learning Interpretability Resources

Udemy Derin Öğrenmeye Giriş Kursunun Uygulamaları ve Daha Fazlası

Cryptocurrency Price Prediction Using LSTM neural network

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Curso de Data Science em Português

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Data science portfolio

DeltaPy - Tabular Data Augmentation (by @firmai)

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

A collection of demos showcasing automated feature engineering and machine learning in diverse use cases

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

Quantitative finance research tools in Python

Full Stack Data Science in Python

Applying Data Science and Machine Learning to Solve Real World Business Problems

The code repository for projects and tutorials in R and Python that covers a variety of topics in data visualization, statistics sports analytics and general application of probability theory.

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

Stock for Deep Learning and Machine Learning

A Code-First Introduction to NLP course

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

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

The Go kernel for Jupyter notebooks and nteract.

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Human-explainable AI.

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

Python code for common Machine Learning Algorithms

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Materials for GWU DNSC 6279 and DNSC 6290.

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.

My Answer to 120 Data Science Interview Questions

Interactive reports to analyze machine learning models during validation or production monitoring.

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

experiments with python

阿水的数据竞赛开源分支

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

open source for wechat-official-account (ID: PyDataLab)

Production Data Science: a workflow for collaborative data science aimed at production

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

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Collection of useful data science topics along with code and articles

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

AI-related tutorials. Access any of them for free → https://towardsai.net/editorial

CardIO is a library for data science research of heart signals

Jupyter notebooks from the scikit-learn video series

This project reproduces the book Dive Into Deep Learning (https://d2l.ai/), adapting the code from MXNet into PyTorch.