7743 Open source projects that are alternatives of or similar to Learning_python

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

image processing codes to understand algorithm

Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.

A workshop on data privacy methods for data scientists.

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.

An intro to Python & programming for wanna-be data scientists

Achieve your marketing goals with the data analytics power of Python

Tutorial Sessions for SciPy Con 2019

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

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

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

This is Andrew NG Coursera Handwritten Notes.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

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

Combining Psi4 and Numpy for education and development.

Best Practices, code samples, and documentation for Computer Vision.

This repository is my attempt to help Data Science aspirants gain necessary Data Visualization skills required to progress in their career. It includes all the types of plot offered by Seaborn, applied on random datasets.

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

Numerical & Scientific Computing with Python Tutorial

Tutorial: Web scraping in Python with Beautiful Soup

SuperComputing 2017 Deep Learning Tutorial

Jupyter notebooks from the scikit-learn video series

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

Ways of doing Data Science Engineering and Machine Learning in R and Python

Allstate Kaggle Competition ML Capstone Project

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

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

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

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

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

Theory of digital signal processing (DSP): signals, filtration (IIR, FIR, CIC, MAF), transforms (FFT, DFT, Hilbert, Z-transform) etc.

Introduction to pandas Treehouse course

Data Science Best Practices with pandas

Tutorials and training material for the H2O Machine Learning Platform

Data science and Big Data with Python

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

Jupyter notebook and datasets from the pandas Q&A video series

Best Practices on Recommendation Systems

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

This repository provides everything you need to get started with Python for (social science) research.

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

Human Activity Recognition (HAR) with Keras and CoreML

Google Colaboratory Notebooks and Repositories (by @firmai)

Alpine Container for Machine Learning

Dockerfile of Jupyter (IPython notebook) and IOCaml (OCaml kernel) with libraries for data science and machine learning

Python training for business analysts and traders

brief introduction to Python for machine learning

Open Machine Learning Course

Tutorials for learning OpenCV in Python from Scratch

Learn advanced data science on real-life, curated problems

Face masks are crucial in minimizing the propagation of Covid-19, and are highly recommended or even obligatory in many situations. In this project, we develop a pipeline to detect unmasked faces in images. This can, for example, be used to alert people that do not wear a mask when entering a building.

🚚 Agile Data Preparation Workflows made easy with dask, cudf, dask_cudf and pyspark

Learn to build a basic machine learning model from scratch with this repo and tutorial series.

Slides and Jupyter notebooks

A Julia machine learning framework

Python Helper library for Jupyter Notebooks

🤖⚡️ scikit-learn tips

notebooks with example for machine learning examples

For extensive instructor led learning