wordle-solver
py
| wordle-solver | py | |
|---|---|---|
| 1 | 5 | |
| 2 | 6,636 | |
| - | 0.8% | |
| 0.0 | 0.0 | |
| over 2 years ago | 13 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | - |
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wordle-solver
py
- I'm in my 30's and never had a "real job" - I have depression and anxiety, how do I get my life in order?
- Learn data science step by step in 6 months😉
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2022 Goals
Here is a guide and resources on these in the 6-12 weeks sections. It's from Chandoo on YT, who has a ton of videos on learning data analytics.
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Andrew Ng or more hands-on course?
I will give it a look into Ng's course, try out some of the resources in this github and look into this website too
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Weekly Entering & Transitioning Thread | 14 Feb 2021 - 21 Feb 2021
Data analysis roadmap
What are some alternatives?
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
fastprogress - Simple and flexible progress bar for Jupyter Notebook and console
CFDPython - A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/
ml-coursera-python-assignments - Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
alphalens - Performance analysis of predictive (alpha) stock factors
PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks
AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
ydata-profiling - 1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.
pydna - Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.
BestPractices - Things that you should (and should not) do in your Materials Informatics research.
visualizingRuntimes - Use code to visualize and determine runtime complexities for different algorithms.