60-Days-of-Data-Science-and-ML
MAPIE
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| 60-Days-of-Data-Science-and-ML | MAPIE | |
|---|---|---|
| 5 | 1 | |
| 22 | 1,152 | |
| - | 3.5% | |
| 10.0 | 9.7 | |
| over 1 year ago | about 19 hours ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | BSD 3-clause "New" or "Revised" License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
60-Days-of-Data-Science-and-ML
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60 Days of Data Science and Machine Learning
Day 31 - Machine Learning Linear Regression
Followings are fourth week of this series. You can find them on my GitHub. You can run all the notebook on colab or jupyter notebook as well.
Day 15 - Repression Part2
Day 1 - Python Basics Part1
MAPIE
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How to calculate confidence level of a regression model?
Did some research and apparently there are number of ways and regression seems to be quite hard and no straightforward answer. Came across MAPIE (https://github.com/scikit-learn-contrib/MAPIE) which predicts a upper and lower range of values.. how can I then calculate the confidence for a given prediction?
What are some alternatives?
data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera
eip1559_analysis - Can we estimate the economic impact of EIP-1559 on miners? This repository try to estimate the loss of miners' revenue coming from transactions fees, using Ethereum historical data.
pycaret - An open-source, low-code machine learning library in Python
collatz-conjecture - A calculator as Jupyter Lab notebook for Collatz Conjecture or commonly known as 3x+1 problem.
tsai - Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
hamilton - A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
FLAML - A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
PyABSA - Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;
linear-regression-from-scratch - A data science project for part II physics project E (surveying using stars)
nyc_traffic_flask - Flask App with leaflet.js that can perform NYC Traffic Prediction