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Machine in Python

Track :

Programming

Lessons no : 101

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What will you learn in this course?
  • Develop Python scripts to implement machine learning algorithms for data analysis and prediction using popular libraries like scikit-learn and TensorFlow
  • Apply data preprocessing techniques in Python to clean, transform, and prepare datasets for machine learning models
  • Build and evaluate classification models in Python to accurately categorize data using decision trees, SVMs, and neural networks
  • Create regression models in Python to predict continuous outcomes with high accuracy and interpret model results effectively
  • Implement clustering algorithms in Python to segment data into meaningful groups for customer segmentation and pattern recognition
  • Utilize Python to perform feature selection and dimensionality reduction for optimizing machine learning model performance
  • Analyze model performance metrics in Python, including accuracy, precision, recall, F1 score, and ROC-AUC for comprehensive evaluation
  • Deploy machine learning models in Python for real-world applications such as recommendation systems, fraud detection, and predictive analytics
  • Use Python to fine-tune hyperparameters and improve model accuracy through techniques like grid search and cross-validation
  • Integrate Python machine learning models into web applications and APIs for scalable deployment and user interaction
  • Apply ethical considerations and bias mitigation strategies in Python-based machine learning projects
  • Leverage Python to visualize data, model results, and insights for effective communication and decision-making
  • Implement supervised and unsupervised learning techniques in Python to solve diverse real-world problems
  • Utilize Python to handle large datasets efficiently using data manipulation libraries like pandas and NumPy
  • Develop end-to-end machine learning workflows in Python, from data collection to model deployment
  • Troubleshoot common issues in Python machine learning projects, including overfitting, underfitting, and data imbalance

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Lessons | 101
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Akshay

hi
2024-12-11

Shweta Gahalod

It's very informative video lecture
2024-01-01

Md Meraz Anasri

Best for ML
2023-09-06

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Machine Learning is making the computer learn from studying data and statistics. Machine Learning is a step into the direction of artificial intelligence .