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In this course, you will :
- Use Python for Data Science and Machine Learning.
- Use Spark for Big Data Analysis.
- Implement Machine Learning Algorithms.
- Learn to use NumPy for Numerical Data.
- Learn to use Pandas for Data Analysis.
- Learn to use Matplotlib for Python Plotting.
- Learn to use Seaborn for statistical plots.
- Use Plotly for interactive dynamic visualizations.
- Use SciKit-Learn for Machine Learning Tasks.
- K-Means Clustering.
- Logistic Regression.
- Linear Regression.
- Random Forest and Decision Trees.
- Natural Language Processing and Spam Filters.
- Neural Networks.
- Support Vector Machines
