7146 Open source projects that are alternatives of or similar to Machine Learning Alpine

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

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

The book was written and tested with Python 3.5, though other Python versions (including Python 2.7) should work in nearly all cases.

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

텐서플로우와 머신러닝으로 시작하는 자연어처리(로지스틱회귀부터 트랜스포머 챗봇까지)

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.

Open Machine Learning Course

A Python Matplotlib, Numpy library to manage wind data, draw windrose (also known as a polar rose plot), draw probability density function and fit Weibull distribution

공공데이터 분석

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

Credit Risk analysis by using Python and ML

📚 Various cheatsheets in PDF

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

For extensive instructor led learning

📓 deepleaning and cv notes.

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

Kaggle Struggle

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

Association Rule Mining from Spatial Data for Crime Analysis

notebooks with example for machine learning examples

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.

Small Docker image with Python Machine Learning tools (~180MB) https://hub.docker.com/r/frolvlad/alpine-python-machinelearning/

Stock Market Analysis and Prediction is the project on technical analysis, visualization and prediction using data provided by Google Finance.

Achieve your marketing goals with the data analytics power of Python

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。

Data Science & Machine Learning projects and tutorials in python from beginner to advanced level.

This repository consists of all my Machine Learning Projects.

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

Performance analysis of predictive (alpha) stock factors

Repository to store sample python programs for python learning

Functionalities in Excel translated to Python

Technical Analysis Library using Pandas and Numpy

pytablewriter is a Python library to write a table in various formats: CSV / Elasticsearch / HTML / JavaScript / JSON / LaTeX / LDJSON / LTSV / Markdown / MediaWiki / NumPy / Excel / Pandas / Python / reStructuredText / SQLite / TOML / TSV.

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

This is Andrew NG Coursera Handwritten Notes.

A library for debugging/inspecting machine learning classifiers and explaining their predictions

Pynamical is a Python package for modeling and visualizing discrete nonlinear dynamical systems, chaos, and fractals.

edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab

Algorithmic trading using machine learning.

Using Project Jupyter for data science.

Data ETL & Analysis on the dataset 'Baby Names from Social Security Card Applications - National Data'.

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

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.

Simple plotting library that wraps Matplotlib and integrated with DataFrames

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

Text Mining on the 2019 Mexican Government Report, covering from extracting text from a PDF file to plotting the results.

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

My workshop on machine learning using python language to implement different algorithms

In this repository, You can find the files which implement dimensionality reduction on the hyperspectral image(Indian Pines) with classification.

brief introduction to Python for machine learning

Data Science with Python

No description or website provided.

Data analysis and visualization with PyData ecosystem: Pandas, Matplotlib Numpy, and Seaborn

中文 Python 笔记

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Data Analysis Using Python: A Beginner’s Guide Featuring NYC Open Data

A New, Interactive Approach to Learning Data Visualization

Use AI to generate a optimized stock portfolio

This is the final project for the Udacity Machine Learning Nanodegree: Predicting article retweets and likes based on the title using Machine Learning