arjun-panesar-machine-learning-and-ai-for-healthcare.pdf
4.4 MB
Machine Learning and AI for Healthcare
Arjun Panesar, 2019
Arjun Panesar, 2019
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5_6260478810370607322.pdf
2.6 MB
Pdf Resource:- How to get your first Data Science job
Source :- Springboard
Source :- Springboard
tom-lawry-ai-in-health-a-leader-s-guide-to-winning-in.pdf
9 MB
AI in Health
Tom Lawry, 2020
Tom Lawry, 2020
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CSS_Notes.pdf
384.7 KB
CSS notes 📝
JavaScript Notes (1).pdf
4.1 MB
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javanoscript-interview-questions-answers.pdf
212.7 KB
Javanoscript Interviews Q A For a job 📝
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Top 5 Tools to master Data Analytics
1. Python:
- Versatile programming language.
- Offers powerful libraries like Pandas, NumPy, and Scikit-learn.
- Used for data manipulation, analysis, and machine learning tasks.
2. R:
- Statistical programming language.
- Provides extensive statistical capabilities.
- Popular for data analysis in academia.
- Offers visualization libraries like ggplot2.
3. SQL (Structured Query Language):
- Essential for working with relational databases.
- Allows querying, manipulation, and management of data.
- Standard language for database management systems.
4. Tableau:
- Data visualization tool.
- Enables creation of interactive dashboards.
- Helps in communicating insights effectively.
- Widely used in business intelligence.
5. Apache Spark:
- Framework for large-scale data processing.
- Offers distributed computing capabilities.
- Libraries like Spark SQL and MLlib for data manipulation and machine learning.
- Ideal for processing big data efficiently.
Python Programming Resources
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https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
Like if it helps :)
1. Python:
- Versatile programming language.
- Offers powerful libraries like Pandas, NumPy, and Scikit-learn.
- Used for data manipulation, analysis, and machine learning tasks.
2. R:
- Statistical programming language.
- Provides extensive statistical capabilities.
- Popular for data analysis in academia.
- Offers visualization libraries like ggplot2.
3. SQL (Structured Query Language):
- Essential for working with relational databases.
- Allows querying, manipulation, and management of data.
- Standard language for database management systems.
4. Tableau:
- Data visualization tool.
- Enables creation of interactive dashboards.
- Helps in communicating insights effectively.
- Widely used in business intelligence.
5. Apache Spark:
- Framework for large-scale data processing.
- Offers distributed computing capabilities.
- Libraries like Spark SQL and MLlib for data manipulation and machine learning.
- Ideal for processing big data efficiently.
Python Programming Resources
👇👇
https://whatsapp.com/channel/0029VaiM08SDuMRaGKd9Wv0L
Like if it helps :)
❤5👍2
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