Chapter 1
Machine Learning
Linear Regression
Logistic Regression
Projects for Building ML Model
You can work on these as a beginner:
- Predicting house prices based on various features like location, number of bedrooms, etc.
- Identifying and classifying handwritten digits using the MNIST dataset.
- Sentiment analysis of customer reviews for a product or service.
- Predicting whether a customer will churn or not for a telecom company.
- Image classification for identifying different objects or animals in an image.
- Clustering customers based on their shopping patterns and purchase history.
- Anomaly detection in network traffic or credit card transactions.
- Predicting employee attrition for a company.
- Spam classification for emails or messages.