Complete Machine Learning & Data Science with Python | A-Z Course includes 8.5 hrs video content and enrolled by 18K+ students and received a 4.5 average review out of 5. Now, you will get 94%OFF on the original price of the course and discount price differs from country to country, and the course provider offers 30-days money-back guarantee! If you are not satisfied in any way, you’ll get your money back.
What you’ll learn
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Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. Whether you’re a marketer, video game designer, or programmer, my course on Udemy will help you apply machine learning to your work.
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Learn Machine Learning with Hands-On Examples
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What is Machine Learning?
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Machine Learning Terminology
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Evaluation Metrics
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What are Classification vs Regression?
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Evaluating Performance-Classification Error Metrics
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Evaluating Performance-Regression Error Metrics
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Supervised Learning
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Cross Validation and Bias Variance Trade-Off
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Use matplotlib and seaborn for data visualizations
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Machine Learning with SciKit Learn
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Linear Regression Algorithm
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Logistic Regresion Algorithm
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K Nearest Neighbors Algorithm
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Decision Trees And Random Forest Algorithm
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Support Vector Machine Algorithm
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Unsupervised Learning
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K Means Clustering Algorithm
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Hierarchical Clustering Algorithm
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Principal Component Analysis (PCA)
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Recommender System Algorithm
During the course you will learn the following topics:
- What is Machine Learning?
- More About Machine Learning
- Machine Learning Terminology
- Evaluation Metrics
- What is Classification vs Regression?
- Evaluating Performance-Classification Error Metrics
- Evaluating Performance-Regression Error Metrics
- Machine Learning with Python
- Supervised Learning
- Cross-Validation and Bias Variance Trade-Off
- Use Matplotlib and seaborn for data visualizations
- Machine Learning with SciKit Learn
- Linear Regression Theory
- Logistic Regression Theory
- Logistic Regression with Python
- K Nearest Neighbors Algorithm Theory
- K Nearest Neighbors Algorithm With Python
- K Nearest Neighbors Algorithm Project Overview
- K Nearest Neighbors Algorithm Project Solutions
- Decision Trees And Random Forest Algorithm Theory
- Decision Trees And Random Forest Algorithm With Python
- Decision Trees And Random Forest Algorithm Project Overview
- Decision Trees And Random Forest Algorithm Project Solutions
- Support Vector Machines Algorithm Theory
- Support Vector Machines Algorithm With Python
- Support Vector Machines Algorithm Project Overview
- Support Vector Machines Algorithm Project Solutions
- Unsupervised Learning Overview
- K Means Clustering Algorithm Theory
- K Means Clustering Algorithm With Python
- K Means Clustering Algorithm Project Overview
- K Means Clustering Algorithm Project Solutions
- Hierarchical Clustering Algorithm Theory
- Hierarchical Clustering Algorithm With Python
- Principal Component Analysis (PCA) Theory
- Principal Component Analysis (PCA) With Python
- Recommender System Algorithm Theory
- Recommender System Algorithm With Python
Who this course is for:
- Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. It is for everyone
- Anyone who wants to start learning “Machine Learning”
- Anyone who needs a complete guide on how to start and continue their career with machine learning
- Software developer who wants to learn “Machine Learning”
- Students Interested in Beginning Data Science Applications in Python Environment
- People Wanting to Specialize in Anaconda Python Environment for Data Science and Scientific Computing
- Students Wanting to Learn the Application of Supervised Learning (Classification) on Real Data Using Python
Can I download Complete Machine Learning & Data Science with Python | A-Z course?
Course videos can be downloaded for offline viewing using the Udemy mobile app on Android and iOS. Some courses may allow downloading lectures on a computer only if the instructor has enabled it, but this is not guaranteed and is not the primary method Udemy supports.Can I get a certificate after completing the course?
Yes. After successful completion of the Complete Machine Learning & Data Science with Python | A-Z, learners will receive a certificate of completion. The certificate confirms that the course has been completed and can be downloaded and shared on resumes or professional profiles.Are there any other coupons available for this course?
Additional coupons for this course may be available from time to time. Coupon availability is time-limited and may change or expire at any time, so it’s recommended to check regularly for updated offers.Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
