Fundamentals of Machine Learning with Python Implementation.
Learn Fundamentals of Machine Learning from scratch to make students well equipped with all basics and math involved
What you’ll learn
-
Use Python for Data Science and Machine Learning
-
Implement Machine Learning Algorithms
-
Handle advanced techniques like Dimensionality Reduction
-
Know which Machine Learning model to choose for each type of problem
-
Basics of Reinforcement Learning
-
Linear Regression
-
Logistic Regression
-
Clustering
-
SVM
-
Neural Network Concept
-
Random Forest
-
PCA and SVD
Requirements
-
Basics of python programming
-
Linear algebra (understanding of matrices)
-
Differential calculus (optional)
Who this course is for:
- Anyone interested in Machine Learning.
- Students who want to start learning Machine Learning.
- Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
- Any students in college who want to start a career in Data Science.
- Any computer science student hoping to broaden their skillset
- Anyone interested in Machine Learning Including business leaders, managers, app developers, consumers – you!