10 Amazing Github Repositories for Data Science Learners, which cost you nothing, and save you 100s of hours to learn.
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1. Dat Science Python Notebooks
What you can learn:
• scikit-learn
• statistical-inference-scipy
• pandas
• matplotlib
• numpy
• python-data
• kaggle
• spark
• mapreduce-python
• amazon web services
• command lines
github.com
What you can learn:
• scikit-learn
• statistical-inference-scipy
• pandas
• matplotlib
• numpy
• python-data
• kaggle
• spark
• mapreduce-python
• amazon web services
• command lines
github.com
2. Data Science Cheetsheet 2.0
What you can learn:
• Linear and Logistic Regression
• Decision Trees and Random Forest
• SVM
• K-Nearest Neighbors
• Clustering
• Boosting
• Dimension Reduction
• Natural Language Processing
• Neural Networks
github.com
What you can learn:
• Linear and Logistic Regression
• Decision Trees and Random Forest
• SVM
• K-Nearest Neighbors
• Clustering
• Boosting
• Dimension Reduction
• Natural Language Processing
• Neural Networks
github.com
3. Awesome Python
What you will learn:
• Cryptography
• Data Visualization
• Deep Learning
• Foriegn Function Integration
• Geolocation
• Natural language Process
• Machine learning
• Refractoring
• RESTful API
• Robotics
github.com
What you will learn:
• Cryptography
• Data Visualization
• Deep Learning
• Foriegn Function Integration
• Geolocation
• Natural language Process
• Machine learning
• Refractoring
• RESTful API
• Robotics
github.com
4. Awesome Data Engineering
What you will learn:
• Databases
• Ingestion
• File System
• Serialization format
• Stream Processing
• Batch Processing
• Charts and Dashboards
• Workflow
• Data Lake Management
• Docker
• Datasets
github.com
What you will learn:
• Databases
• Ingestion
• File System
• Serialization format
• Stream Processing
• Batch Processing
• Charts and Dashboards
• Workflow
• Data Lake Management
• Docker
• Datasets
github.com
Quick Break:
Here is the shortest path to if you want to become a Data Analyst.
You will understand:
✅Exact path
✅Technologies you need to Learn
✅Where to Learn the technologies
✅Tools you need
You can get it Free today
goldsuite.gumroad.com
Here is the shortest path to if you want to become a Data Analyst.
You will understand:
✅Exact path
✅Technologies you need to Learn
✅Where to Learn the technologies
✅Tools you need
You can get it Free today
goldsuite.gumroad.com
6. Best Data Science Resources
What you can get:
• Deep Learning Resources
• Git version control
• Interview cheat sheets
• Machine Learning Algorithms
• MongoDB
• Natural Language Processing
• Python Books and Notes
• SQL Books and notes
github.com
What you can get:
• Deep Learning Resources
• Git version control
• Interview cheat sheets
• Machine Learning Algorithms
• MongoDB
• Natural Language Processing
• Python Books and Notes
• SQL Books and notes
github.com
7. Data Science with Ruby
What you can learn:
• Data Manipulation
• Distributed Computing
• Data Structures
• Data sets
• Statistics
• Visualization
• Interactive Computing
• Provisioning Infrastructure
• Machine Learning
• Ruby vs. Python
github.com
What you can learn:
• Data Manipulation
• Distributed Computing
• Data Structures
• Data sets
• Statistics
• Visualization
• Interactive Computing
• Provisioning Infrastructure
• Machine Learning
• Ruby vs. Python
github.com
8. Pandas Exercises
What you can learn:
• Filtering and Sorting
• Grouping
• Apply
• Merge
• Stats
• Visualization
• Creating series of Dataframes
• Time Series
• Deleting
github.com
What you can learn:
• Filtering and Sorting
• Grouping
• Apply
• Merge
• Stats
• Visualization
• Creating series of Dataframes
• Time Series
• Deleting
github.com
9. Awesome Dataviz
What you can get:
• JavaScript tools
• Charting libraries
• Charting libraries for graphs
• Maps
• d3
• React
• Misc
• Android tools
• C++ tools
• Golang tools
• iOS tools
• Python tools
• R tools
• Ruby tools
github.com
What you can get:
• JavaScript tools
• Charting libraries
• Charting libraries for graphs
• Maps
• d3
• React
• Misc
• Android tools
• C++ tools
• Golang tools
• iOS tools
• Python tools
• R tools
• Ruby tools
github.com
10. Awesome Big Data
What you can learn:
• RDBMS
• Distributed Programming
• Distributed Index
• Key Map Data Model
• Key-value Data Model
• Graph Data Model
• NewSQL Databases
• Time-Series Databases
• Embedded Databases
• Data Visualization
github.com
What you can learn:
• RDBMS
• Distributed Programming
• Distributed Index
• Key Map Data Model
• Key-value Data Model
• Graph Data Model
• NewSQL Databases
• Time-Series Databases
• Embedded Databases
• Data Visualization
github.com
Top 10 GitHub Repositories of DS
1. Dat Science Python Notebooks
2. Data Science Cheetsheet 2.0
3. Awesome Python
4. Awesome Data Engineering
5. Data Engineer Roadmap
6. Best Data Science Resources
7. Data Science with Ruby
8. Pandas Exercises
9. Awesome Dataviz
10. Big Data
1. Dat Science Python Notebooks
2. Data Science Cheetsheet 2.0
3. Awesome Python
4. Awesome Data Engineering
5. Data Engineer Roadmap
6. Best Data Science Resources
7. Data Science with Ruby
8. Pandas Exercises
9. Awesome Dataviz
10. Big Data
That's a wrap!
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1. Follow me @thegoldsuite for more of these
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