ZAKA Academy

Welcome to the AI Bootcamp!

About ZAKA

Learning outcomes

Best practices for success

Check your readiness

Google Colab guide

Artificial Intelligence

AI, Machine Learning and Deep Learning

Applications of AI

Test your ZAKA

Data Science Lifecycle

Test your ZAKA

Machine Learning Framework

Types of Machine Learning

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Problem understanding

Hands-on: Case study on medical cost prediction

Hands-on: Dataset understanding

Hands-on: Dataset loading

Test your ZAKA

Exploratory data analysis

Hands-on: Exploratory data analysis

Hands-on: Data distributions

Hands-on: Data correlations - part 1

Hands-on: Data correlations - part 2

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Data Cleaning

Hands-on: Data preprocessing

Hands-on: Removing unused columns

Hands-on: Data encoding and normalization

Test you ZAKA

Model training & testing

Hands-on: Data splitting

Hands-on: Model training

Hands-on: Model evaluation

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Module summary

Module cheat sheet

What's next?

Outline

Introduction to DL and Neural Networks

Neural Networks

Neural Networks summarization

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Backpropagation example

Update weights

Update weights - part 2

Test your ZAKA

5 steps to train a Neural Network

Tensorflow & Keras

Keras model lifecycle

Hands-on: Build DL Models

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Data Splitting

Hands-on: Pima Binary Classification

Cross Validation

Hands-on: Cross Validation

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One-Hot Encoding

Hands-on: Classification

Hands-on: Regression

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Advanced Concepts

Hands-on: Advanced concepts

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Module Summary

Module cheat sheet

What's next?

Outline: Computer Vision

What is Computer Vision?

Challenges of Computer Vision

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Image operations

Hands-on: Image Operations

Convolution operation

Hands-on: Image processing

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Keras ImageDataGenerator class

Hands-on: Image Data Preparation - part 1

Hands-on: Image Data Preparation - part 2

Image Augmentation

Hands-on: Image Data Augmentation

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Promise of Deep Learning for Computer Vision

Convolutional Neural Networks (CNN)

Pooling layers

Hands-on: Convolutions & Pooling - Part 1

Hands-on: Convolutions & Pooling - Part 2

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Transfer Learning

Hands-on: Advanced CNN architectures

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Module Summary

Module cheat sheet

What's next?

Outline: Natural Language Processing

Natural Language

Challenges of Natural Language

NLP applications

Test your ZAKA 3.1

Text cleaning

Hand-on: Data pre-processing

Test your ZAKA 3.2

Feature extraction using Bag-of-words

Hands-on: Bag-of-words

Hands-on: Sentiment Analysis - part 1

Hands-on: Sentiment Analysis - part 2

Test your ZAKA3.3

The Word Embedding model

Hands-on: Word Embeddings - Part 1

Hands-on: Word Embeddings - Part 2

Test your ZAKA 3.4

Keras' Embedding layer

Sequence problems

Recurrent Neural Network

Hands-on: Deep Sentiment Analysis - Part 1

Hands-on: Deep Sentiment Analysis - Part 2

Test your ZAKA 3.5

Module Summary

Module cheat sheet

What's next?

Outline: Time-series Analysis & Prediction

What are Time-series?

Features of Time-series sequences

Test your ZAKA 3.6

Types of Time-series problems

Supervised Learning with Time-series Data

Test your ZAKA 3.7

Understanding Time-series datasets

Hands-on: Case study on power prediction

Hands-on: Dataset loading

Hands-on: Data inspection

Hands-on: Data cleaning - part 1

Hands-on: Data cleaning - part 2

Hands-on: Data preprocessing

Hands-on: Data visualization

Test your ZAKA 3.8

Preparing Time-series datasets

Hands-on: Data preparation - part 1

Hands-on: Data preparation - part 2

Hands-on: Data preparation - part 3

Test your ZAKA 3.9

Building Time-series models

Hands-on: Model training

Test your ZAKA 3.10

Evaluating Time-series models

Hands-on: Model evaluation - part 1

Hands-on: Model evaluation - part 2

Hands-on: Visualizing model performance

Test your ZAKA 3.11

Module Summary

Module cheat sheet