Complete A.I. & Machine Learning, Data Science Bootcamp

Description

In this course, you will :

• Become a Data Scientist and get hired
• Master Machine Learning and use it on the job
• Deep Learning, Transfer Learning and Neural Networks using the latest Tensorflow 2.0
• Make use of the cutting-edge resources used by major tech firms like Google, Apple, Amazon, and Meta.
• Show management and stakeholders your data science initiatives.
• Find out which machine learning model is best for each kind of issue.
• actual-world projects and case studies to learn how things are carried out in the actual world.
• Discover the best practices for the Data Science Workflow.
• Put machine learning algorithms into practice.
• Use the most recent version of Python 3 to learn how to program in Python.
• How to improve your Machine Learning Models
• Learn to pre process data, clean data, and analyze large data.
• Build a portfolio of work to have on your resume
• Developer Environment setup for Data Science and Machine Learning
• Supervised and Unsupervised Learning
• Machine Learning on Time Series data
• Use data visualization programs like Matplotlib and Seaborn to examine big datasets.
• Use Pandas to manipulate data and explore big datasets.
• Discover the uses of NumPy in machine learning.
• A portfolio of machine learning and data science projects, complete with code and notebooks, to apply for jobs in the field.
• Learn how to use Scikit-learn, a well-known library, into your projects.
• Find out more about data engineering and the applications of Hadoop, Spark, and Kafka in the field.
• Learn to perform Classification and Regression modelling
• Learn how to apply Transfer Learning

Syllabus:

• Machine Learning 101
• Machine Learning and Data Science Framework
• The 2 Paths
• Data Science Environment Setup
• Pandas: Data Analysis
• NumPy
• Milestone Project 1: Supervised Learning (Classification)
• Milestone Project 2: Supervised Learning (Time Series Data)
• Data Engineering
• Storytelling + Communication: How To Present Your Work
• Career Advice + Extra Bits
• Learn Python
• Learn Python Part 2
• Extra: Learn Advanced Statistics and Mathematics