Course Highlights
  • Government Certification
  • Certification valid for life
  • Lifelong e-learning access
  • Learning Hours: 20+ hrs
  • Life Time Job Support
  • Job Profile Tagging
Curriculum

12 Topics
What is Machine Learning
Types of Machine Learning
How does a Machine Learning Algorithm Works
Parametric and Non-Parametric Algorithms
Regression and Classification
Clustering
Preparing Your Data
Outliers
Problem of Underfitting and Overfitting
The Bias-Variance trade-off
Intro to jupyter notebooks
Data Science packages

9 Topics
What is Regression Analysis
Linear Regression
Cost Function
Gradient Descent
Polynomial Regression
Logistic Regression
Cost Function for Logistic Regression
Regularization
Evaluating a Machine Learning Model

8 Topics
Introduction to Conditional Probability
Bayes Rule
Bayesian Learning
Naïve Bayes Algorithm
Test your understanding of Bayes Theorem
Solution – Test Your Understanding of Bayes Theorem
Bayes Net
Markov Chains

5 Topics
Decision Trees
Gini Index
ID3 Algorithm – Entropy
ID3 Algorithm – Information Gain
Practice Example – Information Gain

1 Topic
House Price Predictions

1 Topic
SMS Spam Classifier

4 Topics
What is Ensemble Learning
Bagging
Random Forest Algorithm
Boosting

4 Topics
Introduction to Support Vector Machines
Support Vectors
Kernel
Hyperparameters in SVMs

6 Topics
What is Instance Based Learning
K-Nearest Neighbours Algorithm
Dimensionality Reduction
Principle Component Analysis
Feature Scaling
K-Means Algorithm

1 Topic
Breast Cancer Prediction

10 Topics
Introduction to Deep Learning
Perceptron
Perceptron Exercise
Solution – Perceptron Exercise
Deep Neural Networks
Deep Neural Networks – 2
Activation Functions - 1
Activation Functions - 2
Backpropagation Algorithm
Convolutional Neural Nets

1 Topic
Image Classification using Deep Learning

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Certified Machine Learning (Python) Professional

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