Description
(Prerequisites: Knowledge of python programming)
You will learn:
✔ Become familiar and working with the most important data science libraries: Numpy, Pandas, Matplotlib, Plotly
✔ Visual data analysis
✔ Unsupervised learning: Dimensionality reduction, Clustering
✔ Supervised learning: Classification, Regression
✔ Machine learning pipeline: Data preprocessing, Anomaly detection, Cross-validation, Parameters tuning
✔ Working with real 4 dataset
