93 Open source projects that are alternatives of or similar to learnr

Kaggle Kernels (Python, R, Jupyter Notebooks)

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

Impy is a Python3 library with features that help you in your computer vision tasks.

Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Select Tradeable Stocks

Always know what to expect from your data.

Beautiful visualizations of how language differs among document types.

Step-by-step exploratory movement data analysis protocol in a Jupyter notebook

Create HTML profiling reports from pandas DataFrame objects

Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟

A list of software and papers related to automatic and fast Exploratory Data Analysis

Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph

OlliePy is a python package which can help data scientists in exploring their data and evaluating and analysing their machine learning experiments by utilising the power and structure of modern web applications. The data scientist only needs to provide the data and any required information and OlliePy will generate the rest.

HandySpark - bringing pandas-like capabilities to Spark dataframes

Predict time-series with one line of code.

R package for exploratory data analysis

R wrapper for MLJAR API

There are plenty of courses and tutorials that can help you learn machine learning from scratch but here in GitHub, I want to solve some Kaggle competitions as a comprehensive workflow with python packages. After reading, you can use this workflow to solve other real problems and use it as a template.

Single cell analysis in the browser

DataPrep — The easiest way to prepare data in Python

Multi-time-horizon solar forecasting using recurrent neural network

Preliminary Exploratory Visualisation of Data

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

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

This repo consists of the projects that I completed as a part of the Udacity's Data Analyst Nanodegree's curriculum.

📌 This repo. Contains Basic - Advance level Machine learning / business analysis Projects. 👨‍💻

🛠️ 📊 Tools for Exploring and Comparing Data Frames

MetaOmGraph: a workbench for interactive exploratory data analysis of large expression datasets

Functionalities in Excel translated to Python

Classification of Breast Cancer diagnosis Using Support Vector Machines

Complete-Life-Cycle-of-a-Data-Science-Project

Visualize and compare datasets, target values and associations, with one line of code.

Jared Kushner and his partners used a program meant for job-starved areas to build a luxury skyscraper

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks

Librería para la evaluación de calidad de datos, e interacción con el portal de datos.gov.co

Is there a relationship between popularity of a given technology on Stack Overflow (SO) and Hacker News (HN)? And a few words about causality

A Toolkit for Interactive Statistical Data Visualization

exploratory data analysis using random forests

UFC bout winner prediction using neural nets.

Python API for Intelligent Visual Data Discovery

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.

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

Solution of the Titanic Kaggle competition

A machine learning approach to classify songs by mood.

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

For all those who're struggling to find a good hands-on resource (with case studies) to master their Data Science skills, Here's all what you need!

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

data⎰describe: Pythonic EDA Accelerator for Data Science

Kernel Density Estimation in Python

Implementation of DenseNet model on Standford's MURA dataset using PyTorch

Notes and tutorials on how to use python, pandas, seaborn, numpy, matplotlib, scipy for data science.

Code for PerCom Workshop paper title 'Edge2Guard: Botnet Attacks Detecting Offline Models for Resource-Constrained IoT Devices'

🌝 Lottery prediction besides of following "law of proability","Probability: Independent Events", there are still "Saying "a Tail is due", or "just one more go, my luck is due to change" is called The Gambler's Fallacy" existed.

Data Inspector is an open-source python library that brings 15++ types of different functions to make EDA, data cleaning easier.

Drug-Drug Interaction Predicting by Neural Network Using Integrated Similarity

Tool for visual exploration of complex data.

BAS R package https://merliseclyde.github.io/BAS/

The furniture R package contains table1 for publication-ready simple and stratified descriptive statistics, tableC for publication-ready correlation matrixes, and other tables #rstats

Analyse academic and non-academic information of students and predict grades

A collection of scripts written to complete DQLab Data Analyst Career Track 📊

A day to day plan for this challenge. Covers both theoritical and practical aspects