File Name: | Machine Learning with Python: Beginner Projects |
Content Source: | https://www.udemy.com/course/machine-learning-with-python-beginner-projects |
Genre / Category: | Programming |
File Size : | 1.3 GB |
Publisher: | Advancedor Academy |
Updated and Published: | September 9, 2025 |
Machine Learning is one of the most in-demand skills in today’s world, and the best way to learn it is through practical projects. This beginner-friendly course will guide you step by step through the essential algorithms of Machine Learning using Python, while working on real-world datasets like Titanic, Wine Data, and Bank Marketing.
We’ll start from the basics — understanding how models work, how to evaluate their performance, and how to improve them.
Then, we’ll move into hands-on projects covering a wide range of algorithms:
- Logistic Regression with the Titanic dataset
- Naive Bayes with Wine classification
- Decision Trees with Bank Marketing data
- Random Forests for ensemble learning
- Gradient Descent methods (Batch, Stochastic, Mini-Batch)
- Linear Regression projects with real datasets
- K-Nearest Neighbors (KNN) and Support Vector Machines (SVM)
- Boosting techniques and Unsupervised Learning (Clustering, PCA)
By the end of this course, you will:
- Understand the intuition behind core ML algorithms
- Be able to implement them from scratch and with Python libraries
- Know how to choose the right model and evaluate its performance
- Gain confidence through practical, project-based learning
No advanced math is required — just basic Python knowledge and a willingness to learn. Whether you’re a student, programmer, or professional looking to upskill, this course will give you a solid foundation to start your Machine Learning journey.
Who this course is for:
- Beginners who want to start learning machine learning through hands-on projects.
- Students and programmers curious about data science and AI.
- Career changers looking to add machine learning to their skill set.
DOWNLOAD LINK: Machine Learning with Python: Beginner Projects
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