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Master Machine Learning: Complete Logistic Regression Pro Course

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2:50:50

  • 1 -Logistic Regression From Zero to Hero.mp4
    11:00
  • 2 -Demystifying Logistic Regression Math.mp4
    09:37
  • 3 -Logistic Regression Real-World Examples.mp4
    10:18
  • 1 -Data Cleaning The Unsung Hero of ML.mp4
    12:05
  • 2 -Feature Engineering Magic Transform Your Data.mp4
    08:42
  • 3 -Know Your Model Essential Evaluation Metrics.mp4
    07:39
  • 1 -NLP for Beginners Start with Logistic Regression.mp4
    08:16
  • 2 -Supercharge Your NLP with Advanced Techniques.mp4
    13:04
  • 3 -Transfer Learning The NLP Shortcut You Need.mp4
    07:15
  • 1 -Taming COVID-19 Data A Data Scientists Guide.mp4
    10:38
  • 2 -Unmasking COVID-19 Trends Data-Driven Insights.mp4
    07:03
  • 3 -The Machine Learning Lifecycle From Data to Deployment.mp4
    10:27
  • 1 -Text Preprocessing Clean Up Your Act.mp4
    12:47
  • 2 -Advanced Text Preprocessing Unlock Hidden Patterns.mp4
    14:28
  • 3 -Telling Stories with Text Data EDA Mastery.mp4
    10:24
  • 1 -Feature Engineering The Secret to NLP Success.mp4
    09:12
  • 2 -Optimize Your Model Hyperparameter Tuning Tips.mp4
    07:55
  • More details


    Course Overview

    Master machine learning from the ground up with this comprehensive course focused on logistic regression, data preprocessing, and real-world model deployment using Python and essential ML tools.

    What You'll Learn

    • Build and deploy end-to-end machine learning models in real-world applications
    • Master key algorithms like regression, classification, and clustering
    • Preprocess, clean, and analyze data to improve model performance

    Who This Is For

    • Aspiring machine learning engineers and data scientists
    • Developers transitioning into AI/ML roles
    • Python programmers expanding into machine learning

    Key Benefits

    • No prior ML experience needed - learn from scratch
    • Hands-on experience with Scikit-Learn and TensorFlow
    • Real-world case studies including COVID-19 data analysis

    Curriculum Highlights

    1. Logistic Regression Fundamentals and Real-World Examples
    2. Data Preparation, Feature Engineering, and Model Evaluation
    3. NLP Applications and COVID-19 Case Study Implementation
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    Category
    • language english
    • Training sessions 17
    • duration 2:50:50
    • Release Date 2025/05/12