Practical Machine Learning using Python

Concepts and Projects based learning for aspiring Machine Learning Professionals

Created by: Manas Dasgupta
Startup Founder, Data Science Expert

What Will I Learn?

• Machine Learning Core Concepts in Detail
• Understand use-case scenarios for applying Machine Learning
• Detailed coverage of Python for Data Science and Machine Learning
• Regression Algorithm - Linear Regression
• Classification Problems and Classification Algorithms
• Unsupervised Learning using K-Means Clustering
• Exploratory Data Analysis Techniques
• Dimensionality Reduction Techniques (PCA)
• Feature Engineering Techniques
• Model Optimization using Hyperparameter Tuning
• Model Optimization using Grid-Search Cross Validation
• Introduction to Deep Neural Networks

Requirements

• Some exposure to Programming Languages will be useful

Target audience

• Aspiring Machine Learning Engineers
• Aspiring Data Science Professionals