Machine Learning & Deep Learning in Python & R
Covers Regression, Decision Trees, SVM, Neural Networks, CNN, Time Series Forecasting and more using both Python & R
4.47 (5831 reviews)

371 965
students
33 hours
content
Feb 2025
last update
$79.99
regular price
What you will learn
Learn how to solve real life problem using the Machine learning techniques
Machine Learning models such as Linear Regression, Logistic Regression, KNN etc.
Advanced Machine Learning models such as Decision trees, XGBoost, Random Forest, SVM etc.
Understanding of basics of statistics and concepts of Machine Learning
How to do basic statistical operations and run ML models in Python
In-depth knowledge of data collection and data preprocessing for Machine Learning problem
How to convert business problem into a Machine learning problem
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Our Verdict
Although there are areas for improvement, such as clarifying certain theoretical aspects and addressing library compatibility issues, this machine learning and deep learning course in Python and R provides a strong foundation with extensive model coverage. Perfect for both novice learners looking to gain hands-on experience and seasoned practitioners aiming to bolster their understanding of ML methodologies.
What We Liked
- Comprehensive coverage of both Python and R for machine learning and deep learning
- In-depth explanations of various models such as regression, decision trees, SVMs, neural networks, and CNNs
- Strong focus on real-life problem solving and converting business problems into machine learning problems
- Well-structured course with clear instructions and good balance between theory and coding exercises
Potential Drawbacks
- Some users reported issues with the latest Python library versions and a stronger preference for Python over R
- A few users mentioned the lack of clarity regarding column selection for the X variable and suggested including clustering methods
- Minor concerns about PPT usage during theory classes and manipulative teaching style from one instructor
- Occasionally lengthy coding sessions without proper explanation can make it challenging for beginners
Related Topics
3288036
udemy ID
01/07/2020
course created date
11/07/2020
course indexed date
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