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?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Complete Machine Learning & Data Science with Python | A-Z course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
Note: 100% OFF Udemy coupon codes are valid for maximum 3 days only. Look for "ENROLL NOW" button at the end of the post.
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
