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Machine Learning

Explore the field of Machine Learning with real-time data, algorithm development and other related techniques.

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10 live projects + 1 capstone project

36+ hours of video content access

Weekly tasks and reports

Certificate of completion

OVERVIEW

Learn Machine Learning today

Explore the field of Machine Learning with real-time data, algorithm development and other related techniques.

Level: Beginner

Microsoft Azure

Azure Environment

Azure SQL Database

Azure Active Directory

Course Curriculum

Discover our comprehensive Cloud Computing course curriculum, designed to provide in-depth knowledge and practical skills.

Statistics fundamentals

  1. Graphically Displaying Single Variable
  2. Measures of Location
  3. Measures of Spread
  4. Covariance and Correlation
  5. Probability
  6. Joint Probability and independent events
  7. Conditional probability
  8. Bayes’ Theorem

ML with Python

  1. Applications of Machine Learning
  2. Supervised vs Unsupervised Learning
  3. Python libraries suitable for Machine Learning

Regression

  1. Training and Testing
  2. Forecasting and Predicting
  3. Theory and how it works
  4. program the Best Fit Slope
  5. program the Best Fit Line
  6. R Squared and Coefficient of Determination Theory
  7. Model evaluation methods

Classification

  1. Introduction
  2. Applying K Nearest Neighbors to Data
  3. Euclidean Distance theory
  4. Decision Trees
  5. Regression Trees
  6. Random Forests
  7. Boosting Algorithm
  8. Linear Discriminant Analysis
  9. Principal Component Analysis

Clustering

  1. Handling Non-Numerical Data for Machine Learning
  2. K-Means with Titanic Dataset
  3. K-Means from Scratch in Python
  4. Finishing K-Means from Scratch in Python
  5. Hierarchical Clustering with Mean Shift Introduction

Recommender systems

  1. Content-based recommender systems
  2. Collaborative Filtering

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Teachnook Certificate

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