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πŸ”ˆ list of top 50 data science cheat sheets

πŸ”˜ From the day I started summarizing data science topics on LinkedIn, I decided to summarize each topic in a few pages. I finally came up with a list of 50 cheat sheets from various areas of data science. This list covers pretty much everything a data person might need, from how to plot with Matplotlib to using ChatGPT.

⏺ Python: link

⏺ Pandas library: link

⏺ NumPy library: link

⏺ Matplotlib library: link

⏺ seaborn library: link

⏺ scikit-learn library: link

⏺ TensorFlow library: link

⏺ Keras library: link

⏺ PyTorch framework: link

⏺ SQL language: link

πŸ‘€ GeoPandas project: link

πŸ‘€ Git version control system: link

πŸ‘€ AWS cloud platform: link

βœ… Azure cloud platform: link

βœ… Google Cloud Platform cloud computing: link

βœ… Docker platform: link

βœ… Kubernetes platform: link

βœ… The Linux Command Line training: link

βœ… Jupyter notebook: link

βœ…οΈ Data preparation: link

βœ…οΈ Data Visualization: Link

βœ…οΈ Statistical inference: link

βœ…οΈ possibility: link

βœ…οΈ Linear Algebra: Link

βœ…οΈ Differential calculation: link

βœ… Time series: link

βœ… Natural language processing: link

βœ… Neural network: link

βœ… Deep Learning: Link

βœ… Machine learning: link

βœ… Apache Spark Framework: Link

βœ… Apache Hadoop framework: link

βœ… Big O Notation tool: link

βœ… Regular Expression training: link

βœ… Unix / Linux Permissions training: link

βœ… Python String Formatting tutorial: link

βœ… Flask framework: link

βœ… Django framework: link

βœ… plotly library: link

βœ… PostgreSQL database: link

βœ… MySQL database: link

βœ… MongoDB database: link

βœ… TensorFlow Probability library: link

βœ… Chatbot GPT-3: link

βœ… Training GPT-3 API Reference: link

βœ… SciPy library: link

βœ… ChatGPT chatbot: link

βœ… Training Colors in Data Viz: link

βœ… Geospatial DS in Python training: link

πŸͺ„ https://www.tgoop.com/codeprogrammer πŸ–Ό

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πŸ”ˆ list of top 50 data science cheat sheets

πŸ”˜ From the day I started summarizing data science topics on LinkedIn, I decided to summarize each topic in a few pages. I finally came up with a list of 50 cheat sheets from various areas of data science. This list covers pretty much everything a data person might need, from how to plot with Matplotlib to using ChatGPT.

⏺ Python: link

⏺ Pandas library: link

⏺ NumPy library: link

⏺ Matplotlib library: link

⏺ seaborn library: link

⏺ scikit-learn library: link

⏺ TensorFlow library: link

⏺ Keras library: link

⏺ PyTorch framework: link

⏺ SQL language: link

πŸ‘€ GeoPandas project: link

πŸ‘€ Git version control system: link

πŸ‘€ AWS cloud platform: link

βœ… Azure cloud platform: link

βœ… Google Cloud Platform cloud computing: link

βœ… Docker platform: link

βœ… Kubernetes platform: link

βœ… The Linux Command Line training: link

βœ… Jupyter notebook: link

βœ…οΈ Data preparation: link

βœ…οΈ Data Visualization: Link

βœ…οΈ Statistical inference: link

βœ…οΈ possibility: link

βœ…οΈ Linear Algebra: Link

βœ…οΈ Differential calculation: link

βœ… Time series: link

βœ… Natural language processing: link

βœ… Neural network: link

βœ… Deep Learning: Link

βœ… Machine learning: link

βœ… Apache Spark Framework: Link

βœ… Apache Hadoop framework: link

βœ… Big O Notation tool: link

βœ… Regular Expression training: link

βœ… Unix / Linux Permissions training: link

βœ… Python String Formatting tutorial: link

βœ… Flask framework: link

βœ… Django framework: link

βœ… plotly library: link

βœ… PostgreSQL database: link

βœ… MySQL database: link

βœ… MongoDB database: link

βœ… TensorFlow Probability library: link

βœ… Chatbot GPT-3: link

βœ… Training GPT-3 API Reference: link

βœ… SciPy library: link

βœ… ChatGPT chatbot: link

βœ… Training Colors in Data Viz: link

βœ… Geospatial DS in Python training: link

πŸͺ„ https://www.tgoop.com/codeprogrammer πŸ–Ό

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