Machine Learning Workflow & Algorithms: Kannada(ಕನ್ನಡ) Tutorial
Explore the step-by-step process of a Machine Learning project and learn about popular ML algorithms in Kannada! This video simplifies the workflow, from collecting data to deploying models, and introduces key algorithms used in real-world applications.
What You’ll Learn:
1. Machine Learning Workflow:
2. Data Collection
3. Data Preprocessing
4. Feature Engineering
5. Model Training
5. Model Evaluation
6. Deployment & Monitoring
Popular ML Algorithms:
1. Linear Regression (for predicting numbers)
2. Decision Trees (for making choices)
3. Random Forests (for improving predictions)
4. K-Means Clustering (for grouping data)
5. Neural Networks (for complex tasks like image recognition)
Gain insights into how these algorithms solve problems in industries like healthcare, finance, and retail.
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Start your journey into Machine Learning with our Kannada guide!
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