Learn Real World Machine Learning Project In Python From Scratch (Free Udemy Course): Complete Real World Machine Learning Project In Python From Scratch
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Contents
What you’ll learn in Machine Learning Project In Python Course
- Gain insights into the principles and applications of machine learning in real-world scenarios across various domains.
- Learn how to choose a machine learning project, define clear goals, and understand the business or problem context.
- Dive into feature engineering to enhance model performance by selecting, transforming, and creating relevant features.
- Learn how to build a predictive system, integrate your machine learning model, and deploy it for making real-world predictions.
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Machine Learning Project In Python Course Includes
- 1 hour on-demand video
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Requirement of this Course
- Basic understanding of Python programming.
- Access to a computer with Python installed.
Description
- 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:
- Introduction to Real-World Machine Learning:
- Delve into the principles and applications of machine learning in real-world scenarios, exploring its diverse applications across industries.
- Selecting a Project and Defining Goals:
- Learn how to choose a machine learning project, define clear goals, and understand the business or problem context for effective project planning.
- Data Collection and Exploration:
- Master techniques for collecting and preparing data, performing exploratory data analysis (EDA) to extract valuable insights essential for project success.
- Data Preprocessing and Cleaning:
- Understand the significance of data preprocessing and cleaning, and implement strategies to handle missing values, outliers, and other data anomalies.
- Feature Engineering:
- Dive into the world of feature engineering, enhancing model performance by selecting, transforming, and creating relevant features to drive better predictions.
- Choosing and Implementing Machine Learning Algorithms:
- Explore a variety of machine learning algorithms, gain the skills to select the most suitable ones for your project, and implement them using Python.
- Model Training and Evaluation:
- Grasp the process of training machine learning models, optimize hyperparameters, and evaluate model performance using industry-standard metrics.
- Hyperparameter Tuning and Model Optimization:
- Dive deep into hyperparameter tuning techniques and optimization strategies, ensuring your models are fine-tuned for efficiency and accuracy.
- Building a Predictive System:
- Learn the steps to build a predictive system, integrating your machine learning model and deploying it for making real-world predictions.
- Monitoring and Maintaining Models:
- Understand the importance of monitoring and maintaining machine learning models to ensure ongoing relevance and accuracy in dynamic environments.
- Ethical Considerations and Best Practices:
- Engage in meaningful discussions about ethical considerations in machine learning projects and adhere to best practices for responsible development.
- Why Enroll:
- Hands-On Project: Engage in a comprehensive hands-on project to reinforce your learning through practical application.
- Real-World Applications: Acquire skills applicable to real-world scenarios, enhancing your ability to create effective machine learning solutions.
- 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!
Who this course is for :
- Beginners interested in understanding the end-to-end process of a machine learning project.
- Intermediate learners seeking practical experience in building real-world machine learning systems.
- Professionals aiming to apply machine learning in their work or projects.
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How to Get this course FREE?
Get a 100% Discount On Udemy Paid Courses by clicking on the “GET THIS FOR FREE ON UDEMY“. This Course coupon code is automatically added to the “GET THIS FOR FREE ON UDEMY“.
Price & Validity
Actual Price : Rs.1999/-
After 100% Discount : Rs.0/-
Valid for First 1000 Users or till the last date. Hurry up before it closes
Apply this Coupon : 690E34ADA7228A40250E (For 100% Discount)
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Note : Udemy Courses listed here are offered FREE only for first 1000 users or are limited by a date. If the 1000 users limit or last date is completed, the course becomes paid.
