HCTPL

Machine Learning With Python Training

“Automation, and artificial intelligence. When designing a “Learning With Python” training program for your academy website, consider the following key elements nclude modules on data science and machine learning with Python. Teach data preprocessing, exploratory data analysis, statistical analysis, machine learning algorithms (e.g., regression, classification, clustering), model evaluation, and deployment.”

  • Introduction to Python syntax, data structures, and control flow statements (if applicable)
  • Hands-on exercises to solidify basic programming concepts
  • Definition of machine learning and its core concepts
  • Supervised, unsupervised, and reinforcement learning paradigms
  • Real-world applications of machine learning across various industries

 

  • Introduction to popular Python libraries for machine learning:
    • NumPy for numerical computations
    • Pandas for data manipulation and analysis
    • Matplotlib and Seaborn for data visualization
  • Hands-on exercises exploring these libraries
  • Importance of data preprocessing in machine learning
  • Techniques for cleaning, transforming, and preparing data:
    • Handling missing values and outliers
    • Feature scaling and normalization
    • Encoding categorical variables
  • Feature selection, extraction, and transformation techniques
  • Creating new features to improve model performance
  • Dimensionality reduction techniques: Principal Component Analysis

Supervised Learning:

  • Linear Regression for continuous target variables
  • Logistic Regression for binary classification problems
  • Decision Trees and Random Forests for making predictions

 

  • Introduction to training machine learning models in Python
  • Understanding gradient descent for model optimization
  • Regularization techniques to prevent overfitting
  • Exploring real-world applications of machine learning with Python in various domains:
  • Finance: Fraud detection and stock price prediction
  • Healthcare: Disease diagnosis and patient outcome prediction
  • Natural Language Processing: Sentiment analysis and text classification

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Refund Policy

At Hari Cornucopia Tech Private Limited, we prioritize customer satisfaction. Therefore, we offer a refund policy to ensure that participants have peace of mind when enrolling in our courses. If a participant is dissatisfied after the first class, they are eligible for a refund. However, once they attend the second class, the refund policy becomes void.