Python to Machine Learning: Mastering ML, DL and Deployment
Course Description
Explore the world of machine learning with our comprehensive Python (ML) course at Skilled.u This course covers essential libraries and frameworks such as NumPy and Pandas for data manipulation, Matplotlib and Seaborn for data visualization, Scikit-learn for machine learning algorithms, and TensorFlow with Keras for deep learning applications. Whether you're new to programming or looking to enhance your data analytics skills, this course provides a solid foundation in Python programming tailored for machine learning and data analytics.
What you'll learn in this course?
Master Python essentials for ML: manipulate data with NumPy,Pandas, create visualizations with Matplotlib, Seaborn, implement ML algorithms using Scikit-learn and build deep learning models with TensorFlow, Keras. Practical insights for proficient data analysis and model deployment.
-
NumPy + Pandas
-
Matplotlib + Seaborn
-
Scikit Learn
-
TensorFlow + Keras
-
ML & Data Analytics
By completing this course, gain expertise in Python for ML: utilize NumPy, Pandas for data manipulation, Matplotlib, Seaborn for visualization, Scikit-learn for algorithms, and TensorFlow, Keras for deep learning. Develop skills to tackle real-world data challenges effectively.
Course Outline
This course at Skilled.u provides a comprehensive introduction to Python for machine learning and data analytics, covering essential libraries and frameworks. Participants will gain practical experience through hands-on exercises and real-world examples, equipping them with the skills necessary to excel in the field of data science and machine learning.