Description:

This course is a comprehensive Data Science roadmap coupled with practical implementation of Supervised Machine Learning concepts. It covers essential topics in Data Science using key tools such as Python, Pandas, NumPy, and Scikit-learn. The bootcamp includes in-depth theory, live coding sessions, and hands-on projects to provide learners with a holistic learning experience.

Key Highlights:

• Learn complete Data Science path
• Python, Pandas, NumPy, Scikit-learn tools
• Supervised ML theory + live implementation
• Real data hands-on project

What you will learn:

• Complete Data Science Learning Path
  Gain a thorough understanding of Data Science concepts, tools, and techniques to kickstart your Data Science journey.
• Key Tools: Python, Pandas, NumPy, Scikit-learn
  Learn how to leverage popular tools like Python, Pandas, NumPy, and Scikit-learn for data manipulation, analysis, and machine learning model building.
• Supervised Machine Learning: Theory + Live Implementation
  Dive deep into Supervised Machine Learning algorithms, understand the underlying principles, and apply them in real-world scenarios through live coding sessions.
• Hands-on Project with Real Data
  Put your skills to the test by working on a hands-on project using real data, gaining practical experience and showcasing your abilities as a Data Scientist.