What will I learn from this course?
Python libraries like Numpy, Pandas, etc. to analyze your data efficiently.
Importance of Statistics and Exploratory Data Analysis (EDA) in the data science field.
Linear Regression, Logistic Regression, and Decision Trees for building machine learning models.
Understand how to solve Classification and Regression problems using machine learning
How to evaluate your machine learning models using the right evaluation metrics?
Improve and enhance your machine learning model’s accuracy through feature engineering
Prerequisites for the Free Machine Learning Certification Course for Beginners
- This course requires no prior knowledge about Data Science or any tool.
Machine Learning course syllabus
In this free machine learning course, we will be covering the following topics:
Python for Data Science
Importance of Statistics and EDA
Basics of Machine Learning
Evaluation Metrics for Machine Learning models
Feature Engineering techniques