Intro to Machine Learning (Free Online Course) : The Introduction to Machine Learning course offers a foundational overview of the concepts, techniques, and applications of machine learning. It introduces you to the core algorithms and statistical methods that allow computers to learn from data, make predictions, and improve over time without being explicitly programmed. You’ll explore supervised and unsupervised learning, key models such as linear regression, decision trees, and clustering, as well as essential topics like model evaluation and data preprocessing. By the end of this course, you’ll have a solid understanding of how machine learning is applied across industries and gain the skills to start your journey in this exciting field.
What You Will Learn?
| Lesson 01 : Welcome to Machine Learning |
| Lesson 02 : Naive Bayes |
| Lesson 03 : SVM |
| Lesson 04 : Decision Trees |
| Lesson 05 : Choose Your Own Algorithm |
| Lesson 06 : Datasets and Questions |
| Lesson 07 : Regressions |
| Lesson 08 : Outliers |
| Lesson 09 : Clustering |
| Lesson 10 : Feature Scaling |
| Lesson 11 : Feature Selection |
| Lesson 12 : Text Learning |
| Lesson 13 : PCA |
| Lesson 14 : Validation |
| Lesson 15 : Evaluation Metrics |
| Lesson 16 : Tying It All Together |
| Lesson 17 : Final Project |
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Udacity Course Enrollment Process
Step 1 – Visit the Course Page
Click on the Orange Button below – GET THE FREE ONLINE COURSE to access the Course Page.
Step 2 – Sign Up or Log In
Click on the “Sign Up” or “Log In” button located at the top-right corner of the page. You can register using your email address, Google account, or Facebook account.
Step 3 – Enroll for FREE
Once you’re logged in, select the “Enroll Now” option to gain access to the course materials.
Step 4 – Begin Your Learning Journey: After clicking “Start Learning,” you will be seamlessly redirected to your personalized dashboard, where you can embark on your course at your own pace !
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