Complete Real World Machine Learning Project In Python From Scratch
Course Title: Real World Machine Learning Project in Python From Scratch
Course Description:
Welcome to the Real World Machine Learning Project in Python From Scratch course, an immersive experience that takes you through the entire lifecycle of building a practical machine learning project. Whether you’re a novice curious about the end-to-end process or an intermediate learner eager to enhance your skills, this course is crafted to guide you through the complexities of real-world machine learning projects using Python.
What You Will Learn:
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Introduction to Real-World Machine Learning:
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Delve into the principles and applications of machine learning in real-world scenarios, exploring its diverse applications across industries.
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Selecting a Project and Defining Goals:
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Learn how to choose a machine learning project, define clear goals, and understand the business or problem context for effective project planning.
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Data Collection and Exploration:
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Master techniques for collecting and preparing data, performing exploratory data analysis (EDA) to extract valuable insights essential for project success.
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Data Preprocessing and Cleaning:
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Understand the significance of data preprocessing and cleaning, and implement strategies to handle missing values, outliers, and other data anomalies.
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Feature Engineering:
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Dive into the world of feature engineering, enhancing model performance by selecting, transforming, and creating relevant features to drive better predictions.
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Choosing and Implementing Machine Learning Algorithms:
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Explore a variety of machine learning algorithms, gain the skills to select the most suitable ones for your project, and implement them using Python.
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Model Training and Evaluation:
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Grasp the process of training machine learning models, optimize hyperparameters, and evaluate model performance using industry-standard metrics.
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Hyperparameter Tuning and Model Optimization:
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Dive deep into hyperparameter tuning techniques and optimization strategies, ensuring your models are fine-tuned for efficiency and accuracy.
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Building a Predictive System:
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Learn the steps to build a predictive system, integrating your machine learning model and deploying it for making real-world predictions.
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Monitoring and Maintaining Models:
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Understand the importance of monitoring and maintaining machine learning models to ensure ongoing relevance and accuracy in dynamic environments.
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Ethical Considerations and Best Practices:
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Engage in meaningful discussions about ethical considerations in machine learning projects and adhere to best practices for responsible development.
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Why Enroll:
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Hands-On Project: Engage in a comprehensive hands-on project to reinforce your learning through practical application.
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Real-World Applications: Acquire skills applicable to real-world scenarios, enhancing your ability to create effective machine learning solutions.
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Community Support: Join a community of learners, share experiences, and seek assistance from instructors and peers throughout your learning journey.
Embark on this practical learning adventure and become proficient in building a Real World Machine Learning Project in Python From Scratch. Enroll now and gain the skills to create impactful machine learning solutions!
Course Details
- Language: #English
- Students: 6266
- Rating: 3.75 / 5.0
- Reviews: 29
- Category: #IT_and_Software
- Published: 2023-12-21 03:00:03 UTC
- Price: €94.99
- Instructor: | | ARUNNACHALAM SHANMUGARAAJAN | |
- Content: 1 total hour
- Articles: 0
- Downloadable Resources: 0
Coupon Details
- Coupon Code: C2565A1A41D6AC401538
- Expire Time: 2024-04-11 04:53:00 UTC