ai ml use cases [Video]

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sure! let’s go through some common use cases of ai and machine learning (ml) along with code examples to illustrate how they can be implemented. we’ll cover four main use cases:

1. **image classification**
2. **natural language processing (sentiment analysis)**
3. **recommendation systems**
4. **time series forecasting**

1. image classification

**use case:** classifying images into categories (e.g., cats vs. dogs).

**libraries used:** tensorflow, keras

**example code:**

2. natural language processing (sentiment analysis)

**use case:** analyzing text data to determine the sentiment (positive, negative, neutral).

**libraries used:** nltk, scikit-learn, tensorflow

**example code:**

3. recommendation systems

**use case:** recommending products or content to users based on their preferences.

**libraries used:** surprise, pandas

**example code:**

4. time series forecasting

**use case:** forecasting future values based on past data (e.g., stock prices, weather data).

**libraries used:** pandas, statsmodels

**example code:**

conclusion

these examples illustrate just a few of the many use cases for ai and machine learning. each area has its own set of challenges and opportunities. depending on the problem at hand, you can select appropriate algorithms and models to achieve your goals. as you explore these fields, you may find additional libraries and frameworks that suit your needs. happy coding!

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