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Complete Keras Bootcamp For Deep Learning in Python

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Minerva Singh

2:01:17

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  • 1 - What is the Course About.mp4
    02:29
  • 2 - Data and Code Used in the Course.html
  • 2 - Data-keras.zip
  • 3 - Why AI and Deep Learning.mp4
    09:51
  • 4 - Get Started With the Python Data Science Environment Anaconda.mp4
    10:57
  • 6 - The iPython Environment.mp4
    19:13
  • 7 - Python Packages for Data Science.mp4
    03:16
  • 8 - Introduction to Numpy.mp4
    03:46
  • 9 - Create Numpy Arrays.mp4
    10:51
  • 10 - Numpy Operations.mp4
    16:48
  • 11 - Numpy for Basic Vector Arithmetic.mp4
    06:16
  • 12 - Numpy for Basic Matrix Arithmetic.mp4
    06:32
  • 13 - Introduction to Pandas.mp4
    12:06
  • 14 - Read in Data from CSV.mp4
    05:42
  • 15 - Read in Data from Excel.mp4
    05:31
  • 16 - Basic Data Cleaning.mp4
    04:30
  • 17 - What is Keras.mp4
    03:29
  • Description


    Master Practical Neural Networks and Deep Learning With the Keras Framework in Python

    What You'll Learn?


    • Harness The Power Of Anaconda/iPython For Practical Data Science
    • Learn How To Install & Use Tensorflow Within Anaconda
    • Implement Neural Network Modelling With Keras
    • Implement Deep Learning Based Unsupervised Learning With Keras
    • Implement Deep Learning Based Supervised Learning With Keras
    • Implement Convolution Neural Networks With Keras

    Who is this for?


  • People Interested In Learning Python Based Tensorflow and Keras For Data Science Applications
  • People With Prior Exposure To Python Programming &/Or Data Science Concepts
  • People Interested In Implementing Neural Networks & Deep Learning Models With Keras
  • More details


    Description

    THIS IS A COMPLETE NEURAL NETWORKS & DEEP LEARNING TRAINING WITH KERAS IN PYTHON!

    It is a full 7-Hour Python Keras Neural Network & Deep Learning Boot Camp that will help you learn basic machine learning, neural networks and deep learning using one of the most important Deep Learning frameworks: Keras.                         

    HERE IS WHY YOU SHOULD ENROLL IN THIS COURSE:

    This course is your complete guide to practical machine & deep learning using the Keras framework in Python.

    This means, this course covers the important aspects of Keras if you take this course, you can do away with taking other courses or buying books on Python Keras based data science.  

    In this age of big data, companies across the globe use Python to sift through the avalanche of information at their disposal and advent of Keras is revolutionizing Deep Learning.

    By gaining proficiency in Keras you can give your company a competitive edge and boost your career to the next level.

    THIS IS MY PROMISE TO YOU: COMPLETE THIS ONE COURSE & BECOME A PRO IN PRACTICAL KERAS BASED DATA SCIENCE!

    But first things first. My name is Minerva Singh and I am an Oxford University MPhil (Geography and Environment), graduate. I recently finished a PhD at Cambridge University (Tropical Ecology and Conservation).

    I have several years of experience in analyzing real-life data from different sources using data science-related techniques and producing publications for international peer-reviewed journals.

     Over the course of my research, I realized almost all the Python data science courses and books out there do not account for the multidimensional nature of the topic and use data science interchangeably with machine learning..

    This gives students an incomplete knowledge of the subject. My course, on the other hand, will give you a robust grounding in all aspects of data science within the Tensorflow framework.

    Unlike other Python courses, we dig deep into the statistical modelling features of Tensorflow & Keras and give you a one-of-a-kind grounding in these frameworks!

    DISCOVER 8 COMPLETE SECTIONS ADDRESSING EVERY ASPECT OF PYTHON BASED KERAS DATA SCIENCE:

    • A full introduction to Python Data Science and powerful Python driven framework for data science, Anaconda
    • Getting started with Jupyter notebooks for implementing data science techniques in Python
    • A comprehensive presentation about Keras installation and a brief introduction to the other Python data science packages
    • Brief introduction to the working of Pandas and Numpy
    • The basics of the Keras syntax
    • Machine Learning, Supervised Learning, Unsupervised Learning in the Keras frameworks
    • You’ll even discover how to create artificial neural networks and deep learning structures with Keras

    BUT,  WAIT! THIS ISN'T JUST ANY OTHER DATA SCIENCE COURSE:

    You’ll start by absorbing the most valuable Python Keras basics and techniques.

    I use easy-to-understand, hands-on methods to simplify and address even the most difficult concepts.

    My course will help you implement the methods using real data obtained from different sources. Many courses use made-up data that does not empower students to implement Python-based data science in real -life.

    After taking this course, you’ll easily use packages like Numpy, Pandas, and Matplotlib to work with real data in Python along with gaining fluency in Keras. I will even introduce you to deep learning models such as Convolution Neural network (CNN) !!

    The underlying motivation for the course is to ensure you can apply Python-based data science on real data into practice today, start analyzing data for your own projects whatever your skill level, and impress your potential employers with actual examples of your data science abilities.

    This course will take students without a prior Python and/or statistics background from a basic level to performing some of the most common advanced data science techniques using the powerful Python-based Jupyter notebooks

    It is a practical, hands-on course, i.e. we will spend some time dealing with some of the theoretical concepts related to data science. However, the majority of the course will focus on implementing different techniques on real data and interpret the results..

    After each video, you will learn a new concept or technique which you may apply to your own projects!

    JOIN THE COURSE NOW!

    Who this course is for:

    • People Interested In Learning Python Based Tensorflow and Keras For Data Science Applications
    • People With Prior Exposure To Python Programming &/Or Data Science Concepts
    • People Interested In Implementing Neural Networks & Deep Learning Models With Keras

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    Minerva Singh
    Minerva Singh
    Instructor's Courses
    I completed a PhD (University of Cambridge, UK) in 2017 where I focussed on implementing data science techniques for quantifying the impact of forest loss on tropical ecosystems. I hold an MPhil (School of Geography and Environment) and an MSc (Department of Engineering) from Oxford University. I have more than 10 year's experience in conducting academic research (published in high level peer-reviewed international scientific journals such as PLOS One) and advising both non-governmental and industry stakeholders in data science, deep learning and earth observation (EO) related topics. I have a strong track record in implementing machine learning, data visualization, spatial data analysis, deep learning and natural language processing tasks using both R and Python. In addition to being educated at the best universities in the world, I have honed my statistical and data analysis skills through many MOOCs, including The Analytics Edge (R based statistics and machine learning course offered by EdX), Statistical Learning (R-based Machine Learning course offered by Stanford online) and the IBM Data Science Professional certificate Track. I specialise in a variety of topics ranging from deep learning (Tensorflow, Keras) to machine learning to spatial data analysis (including EO data processing), data visualizations, natural language processing, financial analysis among others. I have acted as a peer reviewer on highly regarded academic journals such as Remote Sensing and given guest lectures on prestigious forums such as Open Data Science Conference (ODSC).
    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 15
    • duration 2:01:17
    • English subtitles has
    • Release Date 2023/09/21