Course curriculum
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1
E- Learning Content
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Chapter 1 - Introduction to Artificial Intelligence
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2
Chapter-2
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2.1 Introduction to Python
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2.2 Introduction to Python Programming
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2.3 Basis of Python Programming
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2.4 Python Programming - 1
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2.5 Python Programming - 2
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3
Chapter-3
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3.1 Introduction to Matplotlib
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3.2 Matplotlib Plots
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3.3 Matplotlib Styles - 1
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3.4 Matplotlib Styles - 2
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3.5 Matplotlib Plots Variants
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4
Chapter -4
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4.1 Introduction to Numpy
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4.2 Numpy Types
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4.3 Numpy Arrays
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4.4 Numpy Array Attributes
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4.5 Numpy Math
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4.6 Numpy Operations
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5
Chapter -5
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5.1 Introduction to Pandas
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5.2 Pandas Reading Data
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5.3 Pandas Dataman - 1
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5.4 Pandas Dataman - 2
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5.5 Pandas Dataman - 3
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6
Chapter-6
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6.1 Introduction to Machine Learning_UnSupervised Learning
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7
Chapter-7
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7 Introduction to Tensorflow
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7.1 Introduction to Keras
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7.2 Clustering
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7.3 Introduction to Deep Learning
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7.4 Natural Language Processing
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7.5 Reinforcement Machine Learning
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8
Live Session
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First Live Session- Jun 25, 2022 08:00 PM
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2nd Live Session- un 26, 2022 08:00 PM
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3rd Live Session- Jun 27, 2022 08:00 PM
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4th Live Session- Jun 28, 2022 08:00 PM
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5th live Session-Jun 29, 2022 08:00 PM
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9
Live Sessions Recordings
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1st -Session- 25-06-2022
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2nd - Session- 26-06-2022
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3rd Session- 27-06-2022
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4th Session-28-06-2022
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5th Session- 29-06-2022
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10
Class Notes
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Introduction and Basic Setup
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Python basics 1
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Python basics -2
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Python basics -3
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Python basics -4
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Python -basic-5
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Introductions to AI
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DEEP LEARNING-1
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Pandas_matplot_pdf
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11
Major project
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Major Project
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Major project- The following files are provided
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