Learning platform for data science and ML

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Anurag Thakur

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"Data Analysis with Python: Zero to Pandas" is a practical and beginner-friendly introduction to data analysis covering the basics of Python, Numpy, Pandas, Data Visualization, and Exploratory Data Analysis.

- Watch hands-on coding-focused video tutorials
- Practice coding with cloud Jupyter notebooks
- Build an end-to-end real-world course project
- Earn a verified certificate of accomplishment

The course is self-paced and there are no deadlines. There are no prerequisites for this course. Read the [course FAQs](https://jovian.ai/forum/t/frequently-asked-questions-faq-about-the-python-course/7719/2) or visit the [Community Discussion Forum](https://jovian.ai/forum/c/course-discussions/data-analysis-with-python-zero-to-pandas/44) to learn more.

data-analysis-with-python-zero-to-pandas

Aakash Rao N S

A practical, beginner-friendly, and coding-focused introduction Python, Numpy, Pandas, data visualization, and exploratory data analysis. Earn a verified certificate of accomplishment by completing assignments & building a real-world project.

Data Analysis with Python: Zero to Pandas

[Discord](https://jovian.ai/discord) | [Course Forum](https://jovian.ai/forum/c/zero-to-gbms/94)

"Machine Learning with Python: Zero to GBMs" is a practical and beginner-friendly introduction to supervised machine learning, decision trees, and gradient boosting using Python. This is a self-paced course where you can: 

- Watch hands-on coding-focused video tutorials
- Practice coding with cloud Jupyter notebooks
- Build an end-to-end real-world course project
- Earn a verified certificate of accomplishment
- Interact with a global community of learners

You will solve 2 coding assignments & build a course project where you'll train ML models using a large real-world dataset. Prerequisite: [Data Analysis with Python: Zero to Pandas](https://jovian.ai/learn/data-analysis-with-python-zero-to-pandas).

machine-learning-with-python-zero-to-gbms

A beginner-friendly introduction to supervised machine learning, decision trees, and gradient boosting using Python and Scikit-learn. Earn a verified certificate of accomplishment by completing assignments & building a real-world project.

Anurag Thakur

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Data Analysis with Python: Zero to Pandas

Machine Learning with Python: Zero to GBMs

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