Machine Learning with Python & Data Science
Course Title: Machine Learning with Python & Data Science
Duration: 6 Months (24 Weeks)
Mode: Online / Offline
Level: Advanced
Target Audience: This course is designed for individuals who wish to specialize in machine learning and data science, particularly using Python as the primary tool. It is ideal for students with some background in Python programming who want to deepen their knowledge and apply it to data science and machine learning contexts. Aspiring data scientists, analysts, and machine learning engineers will benefit from this course.
Course Objectives:
Provide students with a strong foundation in Python programming, particularly tailored to data science and machine learning applications.
Teach students to manipulate, analyze, and visualize data using powerful libraries such as Pandas, NumPy, and Matplotlib.
Introduce machine learning principles, models, and algorithms, including supervised, unsupervised learning, and deep learning with frameworks like TensorFlow and Keras.
Equip students with practical knowledge in implementing machine learning algorithms for real-world data science applications.
Explore cloud-based tools for data storage and collaboration, such as Google Sheets, and the use of Jupyter Notebook for interactive Python development.