Learnr
Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐
| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Dataexplorer | 486 | 1 | 3 months ago | 11 | December 15, 2020 | 16 | other | R | ||
| Automate Data Exploration and Treatment | ||||||||||
| Data Science Live Book | 177 | 4 years ago | 2 | cc-by-sa-4.0 | TeX | |||||
| An open source book to learn data science, data analysis and machine learning, suitable for all ages! | ||||||||||
| Learnr | 77 | 10 months ago | mit | R | ||||||
| Exploratory, Inferential and Predictive data analysis. Feel free to show your :heart: by giving a star :star: | ||||||||||
| Data Science | 39 | 6 years ago | HTML | |||||||
| Lectures for Introduction to Data Science for Public Policy (PPOL 670-01) | ||||||||||
| Statistical Learning Using R | 16 | 6 years ago | R | |||||||
| 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. | ||||||||||
| Spotify Analysis | 11 | 6 years ago | Jupyter Notebook | |||||||
| Analyzing and Predicting Songs | ||||||||||
| Pytolemaic | 10 | a year ago | 56 | June 19, 2022 | other | Python | ||||
| Toolbox for analysis of model's quality and model's description. For further details see | ||||||||||
| Real_estate_machine_learning | 7 | 4 years ago | Jupyter Notebook | |||||||
| Modelling real estate market in Budapest using machine learning | ||||||||||
| Capstoneproject_house_prices_prediction | 7 | 6 years ago | Jupyter Notebook | |||||||
| Understand the relationships between various features in relation with the sale price of a house using exploratory data analysis and statistical analysis. Applied ML algorithms such as Multiple Linear Regression, Ridge Regression and Lasso Regression in combination with cross validation. Performed parameter tuning, compared the test scores and suggested a best model to predict the final sale price of a house. Seaborn is used to plot graphs and scikit learn package is used for statistical analysis. | ||||||||||
| Ai Hacktoberfest | 7 | 3 years ago | 5 | Jupyter Notebook | ||||||
| Welcome to the Hacktoberfest Challenge for Artificial Intelligence / Machine Learning ! Today we will be assessing your skills to Predict Forest Fire Areas given its various parameters! | ||||||||||
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R
Data Analysis
Exploratory Data Analysis
Predictive Modeling