Overview of things that I learned
Technical Area:
- Got an overview of machine-learning algorithms such as Naive Bayes and Logistic Regression by watching videos and tutorials
- Learned more about fundamental ideas about NLP such as sentiment analysis and emotion recognition. Also explored chatbot building services and the NLTK service
- Learned about web scraping and data mining to extract data and effectively pre-process it
Tools:
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- NLTK
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- Natural Language Processing(NLP)
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- Numpy and Pandas
Soft Skills:
- Understanding NLP and ML in practical scenarios
- Familiarity with pandas, NumPy and other python packages
- Understanding of sentiment analysis techniques
Achievements and tasks:
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Learned about concepts of Machine Learning and web scraping
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Became more familiar with GitHub and used git commands to create my repository