Data Science Machine Learning from zero Course

4.5

(25 reviews)

8 Lessons
27 Students
Certificate of completion

Track:

Programming

Data science is the field that studies data and how to extract meaning from it while machine learning focuses on tools and techniques for building models that can learn by themselves by using data .

To Register in Course you have to watch at least 30 Second of any lesson

What You'll Learn

Develop practical skills in data analysis and visualization using Python and popular data science libraries like Pandas and Matplotlib
Build and evaluate machine learning models such as regression, classification, and clustering algorithms for real-world datasets
Apply data preprocessing techniques including cleaning, feature engineering, and normalization to improve model accuracy
Implement supervised and unsupervised learning methods to solve diverse data-driven problems effectively
Utilize model validation and tuning strategies like cross-validation and hyperparameter optimization for optimal performance
Interpret model results and communicate insights clearly using data storytelling and visualization tools

Course Content

8 Lessons • 2 h 49 m total

Data Science Machine Learning Project Part 1 Introduction | Image Classification