Course Overview
- Course Title: Complete Data Science & Machine Learning Course
- Instructor: ARUNNACHALAM SHANMUGARAAJAN
- Target Audience: Beginners and experienced professionals in data science and machine learning
- Prerequisites: Python installed
Curriculum Highlights
- Key Topics Covered:
- Introduction to Data Science and Machine Learning
- Python Fundamentals for Data Science
- Data Preprocessing and Cleaning
- Exploratory Data Analysis (EDA)
- Feature Engineering and Selection
- Model Building and Evaluation
- Advanced Machine Learning Techniques
- Model Deployment and Productionization
- Key Skills Learned:
- Mastering essential concepts, techniques, and tools of data science and machine learning
- Hands-on experience with Python programming and its libraries for data manipulation, analysis, and visualization
- Building and evaluating predictive models using various machine learning algorithms and techniques
Course Format
- Duration: N/A
- Format: Self-paced online course
- Resources: N/A