60-Days-of-Data-Science-and-ML
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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
Graphs4Sci
What are some alternatives?
data-science-notes - Notes of IBM Data Science Professional Certificate Courses on Coursera
lmsoc - Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining
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pythoncode-tutorials - The Python Code Tutorials
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.
egsis - EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation
collatz-conjecture - A calculator as Jupyter Lab notebook for Collatz Conjecture or commonly known as 3x+1 problem.
hamilton - A scalable general purpose micro-framework for defining dataflows. THIS REPOSITORY HAS BEEN MOVED TO www.github.com/dagworks-inc/hamilton
orange - 🍊 :bar_chart: :bulb: Orange: Interactive data analysis
linear-regression-from-scratch - A data science project for part II physics project E (surveying using stars)
humble-benchmarks - Benchmarking programming languages using statistics and machine learning algorithms
pycaret - An open-source, low-code machine learning library in Python