Python Data Science and Machine Learning Made Easy

Python Data Science and Machine Learning Made Easy

Master Python in just self-paced with expert guidance from Logic Labs. By the end of this course, you'll have practical knowledge you can apply immediately. With hands-on projects and real-world examples, you'll gain confidence in your Python abilities. The course includes practical exercises that reinforce your learning experience.

★4.4
1931 students
Created by Logic Labs
Self-paced
English
0 enrolled
What is Data Science?
Why Python for Data Science?
Setting Up Your Environment (Jupyter Notebook, Anaconda, VSCode)
Exploring Datasets (Head, Tail, Describe, Info)
Introduction to Matplotlib and Seaborn
Customizing Plots (Labels, Colors, Themes)
Creating Visual Stories With Data
Summary Statistics & Data Distributions
Descriptive vs Inferential Statistics
Confidence Intervals and P-Values
Mini-Quizzes & Practice Problems
What is Machine Learning?
Linear Regression with Scikit-Learn
Logistic Regression
k-Nearest Neighbors
Decision Trees and Random Forest
Model Accuracy, Confusion Matrix, ROC Curves
Web Scraping With BeautifulSoup and Requests and more....

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