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Deep Dive into Artificial Intelligence - The Master Program

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Skillcart E-learning

11:32:50

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  • 1. Introduction to Artificial Intelligence.mp4
    22:03
  • 2.1 introduction to machine learning and deep learning.zip
  • 2. Demo Introduction to Artificial Intelligence.mp4
    20:40
  • 3. Demo Model Evaluation.mp4
    25:10
  • 4. Demo Perceptron.mp4
    24:30
  • 1. Overview of Data Science.mp4
    07:12
  • 2. Overview of Data Analytics.mp4
    06:04
  • 3.1 college-football.csv
  • 3.2 exploratory data analysis.zip
  • 3. Demo Overview of Data Analytics.mp4
    46:48
  • 4. Statistical Analysis and Business.mp4
    11:00
  • 5.1 scipy tutorial.zip
  • 5. Demo Statistical Analysis and Business.mp4
    41:48
  • 6. Python Environment Setup and Essentials.mp4
    02:14
  • 7. Mathematical Computing with Python.mp4
    12:00
  • 8.1 mathematics.zip
  • 8.2 mathematics.zip
  • 8. Demo Mathematical Computing with Python.mp4
    22:15
  • 9. Scientific Computing with Python.mp4
    09:17
  • 10.1 scipy tutorial.zip
  • 10. Demo Scientific Computing with Python.mp4
    18:13
  • 11. Data Manipulation with Pandas.mp4
    04:24
  • 12.1 data-manipulation.zip
  • 12.2 loans-data.csv
  • 12. Demo Data Manipulation with Pandas.mp4
    26:33
  • 13. Machine Learning with Scikit-Learn.mp4
    07:44
  • 14. Natural Language Procssing with Scikit Learn.mp4
    02:51
  • 15. Data Visualization in Python using Matplotlib.mp4
    04:18
  • 16. Web Scraping with BeautifulSoup.mp4
    05:31
  • 17. Python Integration with Hadoop MapReduce and Spark.mp4
    05:31
  • 1. Overview of Machine Learning.mp4
    09:39
  • 2. Data Preprocessing.mp4
    11:38
  • 3.1 data preprocessing.zip
  • 3.2 housing-price.csv
  • 3. Demo Data Preprocessing.mp4
    45:52
  • 4. Supervised Learning.mp4
    07:14
  • 5.1 housing-price-clean.csv
  • 5.2 regression.zip
  • 5. Demo Regression.mp4
    26:10
  • 6. Feature Engineering.mp4
    02:33
  • 7.1 feature_engineering.zip
  • 7. Demo Feature Engineering.mp4
    23:15
  • 8. Supervised Learning Classification.mp4
    09:45
  • 9.1 classification.zip
  • 9. Demo Classification.mp4
    43:30
  • 10. Unsupervised Learning.mp4
    03:29
  • 11. Time Series Modeling.mp4
    02:44
  • 12. Ensemble Learning.mp4
    06:32
  • 13. Recommender Systems.mp4
    07:13
  • 14. Text Mining.mp4
    10:15
  • 1. Deep Learning with Keras and TensorFlow.mp4
    35:58
  • 2.1 deep learning introduction.zip
  • 2.2 FuelConsumption.csv
  • 2. Demo Introduction to Deep Learning.mp4
    20:11
  • 3. Convolution Network.mp4
    13:30
  • 4.1 convolution neural network.zip
  • 4. Demo Convolutional Network.mp4
    28:32
  • 5. Recurrent Neural Network.mp4
    16:26
  • 6.1 DIS.csv
  • 6.2 rnn.zip
  • 6. Demo Recurrent Neural Network.mp4
    38:02
  • 7. Restricted Boltzmann Machine (RBM).mp4
    02:13
  • 8. Autoencoders.mp4
    02:03
  • Description


    Artificial Intelligence | Data Science with Python | Machine Learning | Deep Learning with Keras and TensorFlow

    What You'll Learn?


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

    Who is this for?


  • 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
  • What You Need to Know?


  • No prerequisites are required, as the course covers the concepts from the scratch. However, basic knowledge of Python would help.
  • More details


    Description

    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!

    Who this course is for:

    • 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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    Skillcart E-learning
    Skillcart E-learning
    Instructor's Courses
    Skillcart is an e-learning company, that helps learners upskill in different technologies 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.
    Students take courses primarily to improve job-related skills.Some courses generate credit toward technical certification. Udemy has made a special effort to attract corporate trainers seeking to create coursework for employees of their company.
    • language english
    • Training sessions 43
    • duration 11:32:50
    • English subtitles has
    • Release Date 2022/11/16