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Laboratory's realised on data camp in Ironhack

Python 0.05% HTML 47.34% Jupyter Notebook 52.61%

ironlabs-1's Introduction

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IronLabs

Module 1

Week 1. Core programming in Python. Libraries overview. Numpy.

Week 2. Data Collection and Management. Data sources. Web scraping. Databases. SQL

Week 3. Data preprocessing. Outliers. Data cleaning. Data imputation. Encoding

Module 2

Week 4. Statistics. Descriptive analytics. Pandas. Pandas-profiling. Regression. Data visualisation with Matplotlib and Seaborn.

Week 5. Streamlit. Business intelligence tools. Tableau. Probability theory.

Week 6. Predictive analytics.

Module 3

Week 7. Machine learning. Supervised learning. Features selection. Hyperparameter tuning.

Week 8. Unsupervised learning AutoML. Deep learning. NLP

ironlabs-1's People

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