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  • Understand Artificial Intelligence in detail
  • Work on Data Science with python
  • Deep dive into Machine Learning
  • Understand Deep Learning with Keras and TensorFlow

About the Course:

The “Deep Dive into Artificial Intelligence - The Master Program” course is an intermediate level course, curated exclusively for both beginners and professionals.

The course covers the basics as well as the advanced level concepts. The course contains content based videos along with practical demonstrations, that performs and explains each step required to complete the task.

 

Learning Objectives:

By the end of the course, you will be able to learn about:

  • Introduction to Artificial Intelligence

  • Fundamentals of Machine Learning and Deep Learning

  • Machine Learning Workflow

  • Performance Metrics

  • Overview of Data Science

  • Overview of Data Analytics

  • Statistical Analysis and Business

  • Python Environment Setup and Essentials

  • Mathematical Computing with Python

  • Scientific Computing with Python

  • Data Manipulation with Pandas

  • Machine Learning with Scikit-Learn

  • Natural Language Processing with Scikit Learn

  • Data Visualization in Python using matplotlib

  • Web Scraping with BeautifulSoup

  • Python Integration with Hadoop MapReduce and Spark

  • Introduction to AI and Machine Learning

  • Data Preprocessing

  • Supervised Learning

  • Feature Engineering

  • Supervised Learning Classification

  • Unsupervised Learning

  • Time Series Modeling

  • Ensemble Learning

  • Recommender Systems

  • Text Mining

  • Introduction to TensorFlow

  • Convolutional Network

  • Recurrent Neural Network

  • Restricted Boltzmann Machine (RBM)

  • Autoencoders

...and much more! There are separate sections for Artificial Intelligence, Data Science with Python, Machine Learning, and Deep Learning with Keras and TensorFlow which lets you scale up these techniques.

 

Don't worry if you've never used Python before; the course covers the topics from the basics. You should be able to pick it up fast if you have experience with programming.

 

This course will teach you the fundamental methods employed by data scientists in the actual world of business, which is ideal if you are a programmer wishing to transition into a fascinating new career path. What are you waiting for? These are things that any successful technologist must be aware of. Enroll now!

  • No prerequisites are required, as the course covers the concepts from the scratch. However, basic knowledge of Python would help.
  • Candidates who are willing to learn AI in detail
  • IT professional willing to upskill themselves in Data Science, ML, or AI
  • Freshers/ Beginners who are willing to make a career in Data Science, ML, or AI
  • Python developers willing to upskill themselves
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  • Section 1 : Lesson 1:Artificial Intelligence 4 Lectures 00:00:04

    • Lecture 1 :
    • Introduction to Artificial Intelligence Preview
    • Lecture 2 :
    • Demo: Introduction to Artificial Intelligence
    • Lecture 3 :
    • Demo: Model Evaluation
    • Lecture 4 :
    • Demo: Perceptron
  • Section 2 : Lesson 2:Data Science With Python 17 Lectures 01:18:11

    • Lecture 1 :
    • Overview of Data Science
    • Lecture 2 :
    • Overview of Data Analytics
    • Lecture 3 :
    • Demo: Overview of Data Analytics
    • Lecture 4 :
    • Statistical Analysis and Business
    • Lecture 5 :
    • Demo: Statistical Analysis and Business
    • Lecture 6 :
    • Python Environment Setup and Essentials
    • Lecture 7 :
    • Mathematical Computing with Python
    • Lecture 8 :
    • Demo: Mathematical Computing with Python
    • Lecture 9 :
    • Scientific Computing with Python
    • Lecture 10 :
    • Demo: Scientific Computing with Python
    • Lecture 11 :
    • Data Manipulation with Pandas
    • Lecture 12 :
    • Demo: Data Manipulation with Pandas
    • Lecture 13 :
    • Machine Learning with Scikit-Learn
    • Lecture 14 :
    • Natural Language Procssing with Scikit Learn
    • Lecture 15 :
    • Data Visualization in Python using Matplotlib
    • Lecture 16 :
    • Web Scraping with BeautifulSoup
    • Lecture 17 :
    • Python Integration with Hadoop MapReduce and Spark
  • Section 3 : Lesson 3:Machine Learning 14 Lectures 01:03:55

    • Lecture 1 :
    • Overview of Machine Learning
    • Lecture 2 :
    • Data Preprocessing
    • Lecture 3 :
    • Demo: Data Preprocessing
    • Lecture 4 :
    • Supervised Learning
    • Lecture 5 :
    • Demo: Regression
    • Lecture 6 :
    • Feature Engineering
    • Lecture 7 :
    • Demo: Feature Engineering
    • Lecture 8 :
    • Supervised Learning Classification
    • Lecture 9 :
    • Demo: Classification
    • Lecture 10 :
    • Unsupervised Learning
    • Lecture 11 :
    • Time Series Modeling
    • Lecture 12 :
    • Ensemble Learning
    • Lecture 13 :
    • Recommender Systems
    • Lecture 14 :
    • Text Mining
  • Section 4 : Lesson 4:Deep Learning With Keras and TensorFlow 8 Lectures 00:34:18

    • Lecture 1 :
    • Deep Learning with Keras and TensorFlow
    • Lecture 2 :
    • Demo: Introduction to Deep Learning
    • Lecture 3 :
    • Convolution Network
    • Lecture 4 :
    • Demo: Convolutional Network
    • Lecture 5 :
    • Recurrent Neural Network
    • Lecture 6 :
    • Demo: Recurrent Neural Network
    • Lecture 7 :
    • Restricted Boltzmann Machine (RBM)
    • Lecture 8 :
    • Autoencoders
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  • Can i cancel anytime?

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Skillcart is an e-learning company that helps learners upskill in different technology domains with its customized courses that can be used by both beginners and professionals. Skillcart provides self-paced e-learning videos for all types of technical courses. Skillcart has courses available for Artificial Intelligence, Data Science with Python, Machine Learning, Deep Learning, and many more.
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