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1. |
Data Management with Python - Part One |
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Python basic: data structures, list and dictionary, for loop/if statement, define function |
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2. |
Data Management with Python - Part Two |
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Pandas: series / dataframe |
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3. |
Data Management with Python - Part Three (Data Visualization Techniques) |
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Practical use of pandas features: data aggregation / joining / datetime management etc Different types of charts |
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Different types of charts |
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4. |
Web scraping with Python |
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Use of beautifulSoup and selenium |
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5. |
Overview of the use of machine learning |
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Supervised learning / unsupervised learning |
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Model Evaluation |
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Data mining workflow |
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6. |
Tree based Machine Learning Algorithms |
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Decision tree algorithm / random forest |
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7. |
Artificial neural network (ANN) & Deep learning |
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ANN and DNN with tensorflow |
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8. |
Clustering Algorithms |
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Kmeans and other algorithms |
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9. |
Regression |
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Linear and polynomial regression techniques |
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10. |
Text analytics with Python |
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Text mining techniques |
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IP15PYTHON2411001B 