What you’ll learn
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Learn the basics of data visualization and pre-processing (Python basics, Numpy, Pandas, Seaborn)
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Gain theoretical and practical experience with fundamental machine learning algorithms (Linear and Logistic Regression, K-NN, Decision Trees, Neural Networks)
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Understand advanced ML topics (encoding, ensemble learning techniques, etc.)
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Submit to your first Kaggle Machine Learning Competition
Here are some of the Python libraries you’ll be using:
- Numpy (linear algebra)
- Pandas (data manipulation)
- Seaborn (data visualization)
- Scikit-learn (optimized machine learning models)
- Keras (neural networks)
- XGBoost (gradient-boosted decision trees)
Here are the most important ML models you’ll use:
- Linear Regression
- Logistic Regression
- Random Forrest Decision Trees
- Gradient-Boosted Decision Trees
- Neural Networks
Not convinced yet? By taking our course, you’ll also have access to sample code for all major supervised machine learning models. Use them how you please!
Start your data science journey today with The Complete Intro to Machine Learning with Python.
Who this course is for:
- Anyone interested in machine learning, data science, and artificial intelligence. No experience required.
Can I download The Complete Intro to Machine Learning with Python 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 The Complete Intro to Machine Learning with Python 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
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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.
