Coincap-Api-Data_Analysis
100-pandas-puzzles
| Coincap-Api-Data_Analysis | 100-pandas-puzzles | |
|---|---|---|
| 1 | 6 | |
| 0 | 2,219 | |
| - | - | |
| 4.0 | 0.0 | |
| 8 months ago | 14 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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Coincap-Api-Data_Analysis
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Please Critique My Data Analysis
Just finished my first eda on a dataset, Please help rate and let me know what i need to fix up on. thanks. link: https://github.com/khorne182/Coincap-Api-EDA/blob/main/1CryptoAnalysis.ipynb
100-pandas-puzzles
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What are the best Python libraries to learn for beginners?
#1: Welcome to df[pandas]! #2: 100 data puzzles for pandas, ranging from short and simple to super tricky | 3 comments #3: Happy Halloween, Pandas! 🎃🤓 | 0 comments
- 100 data puzzles for pandas, ranging from short and simple to super tricky
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pandas practice resources?
I remember someone sharing this with me earlier: https://github.com/ajcr/100-pandas-puzzles Let me know if you think it's comprehensive and a good resource.
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how important are learning the data manipulation libraries?
If you want to get better with pandas specifically you could work through the 100 pandas puzzles repo in your spare time, https://github.com/ajcr/100-pandas-puzzles
- Can anyone recommend resources to prepare for Pandas and Numpy interview questions?
- Is there anything AoC-like for Machine Learning or Data Science?
What are some alternatives?
machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.
numpy-100 - 100 numpy exercises (with solutions)
Linear-Algebra-With-Python - Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative skillsets. Suitable for statistician/econometrician, quantitative analysts, data scientists and etc. to quickly refresh the linear algebra with the assistance of Python computation and visualization.
tempo - API for manipulating time series on top of Apache Spark: lagged time values, rolling statistics (mean, avg, sum, count, etc), AS OF joins, downsampling, and interpolation
pandas_exercises - Practice your pandas skills!
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
idx2numpy_array - Convert data in IDX format in MNIST Dataset to Numpy Array using Python
Data-science - Collection of useful data science topics along with articles, videos, and code
RasgoQL - Write python locally, execute SQL in your data warehouse
tempo - Grafana Tempo is a high volume, minimal dependency distributed tracing backend.
pyjanitor - Clean APIs for data cleaning. Python implementation of R package Janitor