Practical Supervised and Unsupervised Learning with Python
Enter the world of Artificial Intelligence! Develop Python coding practices while exploring Supervised Machine Learning
45
students
9 hours
content
Apr 2019
last update
$13.99
regular price
What you will learn
Explore various Python libraries, including NumPy, Pandas, scikit-learn, Matplotlib, seaborn and Plotly.
Gain in-depth knowledge of Principle Component Analysis and use it to effectively manage noisy datasets.
Discover the power of PCA and K-Means for discovering patterns and customer profiles by analyzing wholesale product data
Visualize, interpret, and evaluate the quality of the analysis done using Unsupervised Learning.
Work with model families like recommender systems, which are immediately applicable in domains such as e-commerce and marketing.
Expand your expertise using various algorithms like regression, decision trees, clustering and many to become a much stronger Python developer.
Understand the concept of clustering and how to use it to automatically segment data.
Course Gallery
Loading charts...
Related Topics
2329280
udemy ID
19/04/2019
course created date
05/12/2020
course indexed date
Bot
course submited by