Big Data AI ML Cloud free projects

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Project 1 - Your first Machine Learning model
- Problem statement and what you will learn
- Resources
- AI ML Intro and Google Colab environment
- Python Basics
- NumPy Pandas MatPlotLib
- A tour of Anaconda Spyder
- Build your Model
- Feature Engineering
- Where to go from here?
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Project 2 - Twitter Sentiment Analysis using Machine Learning and Natural Language Processing (NLP)
- Problem statement and what you will learn
- Resources
- AI ML Intro and Google Colab environment
- Python Basics
- NumPy Pandas MatPlotLib
- A tour of Anaconda Spyder
- Supervised Machine Learning
- Classification using KNN
- Feature Engineering
- Linear Regression
- Naive Bayes Classification
- NLP and Text Classification
- Decision Tree and Random Forest - Classification & Regression
- Unsupervised Machine Learning - K-Means Clustering
- Project - Twitter Sentiment Analysis
- Running the Twitter project in Spyder
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Project 3 - Bank marketing prospects data transformation using Big Data Hadoop and Spark
- Problem statement and what you will learn
- Resources
- Big Data concepts
- Hadoo concepts
- Spark concepts
- Creating a free Hadoop and Spark cluster using Google Dataproc
- Hadoop hands-on - Reading HDFS data using Hive
- Installing Spark on Google Colab
- Python basics
- PySpark RDD
- PySpark - Spark SQL and DataFrame
- Running PySpark on a Hadoop Cluster
- Bank marketing prospects data transformation using Spark and Hive
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Project 4 - AWS use cases
- Signing up for AWS
- Resources
- Creating a billing alert
- Hosting a static website on AWS EC2
- Hosting a static website on AWS S3
- Creating a data lake using AWS S3, Glue and Athena
- Triggering an AWS Glue job with a Lambda function
- Creating a Rest API using AWS API Gateway and Lambda
- Creating Rest API using API Gateway, Lambda and DynamoDB
- Storing AWS IOT data in a NoSQL DynamoDB Database