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Classroom Contents
Machine Learning Basics - Machine Learning for Beginners
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- 1 Introduction
- 2 Agenda
- 3 Why do we need Machine Learning
- 4 What is Machine Learning
- 5 How Machine Learning Works
- 6 Steps in Machine Learning
- 7 Data Scientist
- 8 Data Cleaning
- 9 Data Selling
- 10 Data Analysis
- 11 Programming Languages
- 12 Machine Learning in Data Science
- 13 Python Community
- 14 Google Collab
- 15 Traditional Programming vs Machine Learning
- 16 Types of Machine Learning
- 17 Unsupervised Learning
- 18 Data Label
- 19 Outcome
- 20 Reinforcement Learning
- 21 Logistic Regression
- 22 Prediction
- 23 Data Sets
- 24 Deep Learning
- 25 Sigmoid
- 26 Google Cool Lab
- 27 Google Colab
- 28 Data Visualization
- 29 Data Set Shape
- 30 Count Plot
- 31 Correlation
- 32 Train Test Split
- 33 Train Logistic Regression
- 34 Outro
