PANDAS-TUTORIAL
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| PANDAS-TUTORIAL | py | |
|---|---|---|
| 4 | 5 | |
| 158 | 6,627 | |
| - | 0.6% | |
| 4.0 | 0.0 | |
| 6 months ago | 7 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
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.
PANDAS-TUTORIAL
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The Machine Learning Project Lifecycle
✨ Thanks for reading 😀 Follow me on YouTube, Twitter, Instagram, Medium, Tiktok
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✨ 5 Open Source Data Engineering Projects 🔥
✨ Follow me Twitter | Instagram | YouTube| Tiktok | Medium for more content on data engineering.
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✨ 5 Best GitHub Repositories to Learn Machine Learning in 2022 for Free 💯
🚀 We create content on data science and machine learning. For more content follow Twitter| Instagram | YouTube | Tiktok | Medium 😎
- Associate Data Scientist @ IBM?
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?
100-Days-Of-ML-Code - 100 Days of ML Coding
fastprogress - Simple and flexible progress bar for Jupyter Notebook and console
practical-data-engineering - Practical Data Engineering: A Hands-On Real-Estate Project Guide
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.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code - 500 AI Machine learning Deep learning Computer vision NLP Projects with code
alphalens - Performance analysis of predictive (alpha) stock factors
pandas_exercises - Practice your pandas skills!
AeroPython - Classical Aerodynamics of potential flow using Python and Jupyter Notebooks
Data-Engineering-Projects - Personal Data Engineering Projects
pydna - Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.
HashtagCashtag - My Insight Data Engineering Fellowship project. I implemented a big data processing pipeline based on lambda architecture, that aggregates Twitter and US stock market data for user sentiment analysis using open source tools - Apache Kafka for data ingestions, Apache Spark & Spark Streaming for batch & real-time processing, Apache Cassandra f or storage, Flask, Bootstrap and HighCharts f or frontend.
BestPractices - Things that you should (and should not) do in your Materials Informatics research.