Machine Learning Bootcamp™: Hand-On Python in Data Science

Learn Complete hands-on guide to implementing Supervised Machine Learning Algorithm in Python including ANN, CNN & RNN

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Feb 11, 2023 - 11:25 Updated: Feb 8, 2023 - 22:59
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Machine Learning Bootcamp™: Hand-On Python in Data Science
Machine Learning Bootcamp™: Hand-On Python in Data Science

Machine Learning Bootcamp™: Hand-On Python in Data Science udemy course

Learn Complete hands-on guide to implementing Supervised Machine Learning Algorithm in Python including ANN, CNN & RNN

What you'll learn:

  • Apply advanced machine learning models to perform sentiment analysis and classify customer reviews such as Amazon Alexa products reviews
  • Understand the theory and intuition behind several machine learning algorithms such as K-Nearest Neighbors, Support Vector Machines (SVM), Decision Trees, Random Forest, Naive Bayes, and Logistic Regression
  • Implement classification algorithms in Scikit-Learn for K-Nearest Neighbors, Support Vector Machines (SVM), Decision Trees, Random Forest, Naive Bayes, and Logistic Regression
  • Build an e-mail spam classifier using Naive Bayes classification Technique
  • Apply machine learning models to Healthcare applications such as Cancer and Kyphosis diseases classification
  • Develop Models to predict customer behavior towards targeted Facebook Ads
  • Classify data using K-Nearest Neighbors, Support Vector Machines (SVM), Decision Trees, Random Forest, Naive Bayes, and Logistic Regression
  • Build an in-store feature to predict customer’s size using their features
  • Develop a fraud detection classifier using Machine Learning Techniques
  • Master Python Seaborn library for statistical plots
  • Understand the difference between Machine Learning, Deep Learning and Artificial Intelligence
  • Perform feature engineering and clean your training and testing data to remove outliers
  • Master Python and Scikit-Learn for Data Science and Machine Learning

Requirements:

  • Basic knowledge of Python Programming
  • Experienced computer user

Description:

This course focuses on one of the main branches of Machine Learning that is Supervised Learning in Python. If you are not familiar with Python, there is nothing to worry about because the Lectures comprising the Python Libraries will train you enough and will make you comfortable with the programming language.

The course is divided into two sections, in the first section, you will be having lectures about Python and the fundamental libraries like Numpy, Pandas, Seaborn, Scikit-Learn and Tensorflow that are necessary for one to be familiar with before putting his hands-on Supervised Machine Learning.

Then is the Supervised Learning part, which basically comprises three main chapters Regression, Classification, and Deep Learning, each chapter is thoroughly explained, both theoretically and experimentally.

During all of these lectures, we’ll be learning how to use the different machine learning algorithms to create some mind-blowing modules of Machine Learning, and at the end of the course, you’ll be trained enough that you would be able to develop you own Recognitions Systems and Prediction Models and many more.

Let's get started!

Who this course is for:

Course Details:

  • 17.5 hours on-demand video
  • 1 article
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

Machine Learning Bootcamp™: Hand-On Python in Data Science udemy free download

Learn Complete hands-on guide to implementing Supervised Machine Learning Algorithm in Python including ANN, CNN & RNN

Demo Link: https://www.udemy.com/course/data-science-supervised-machine-learning-bootcamp-in-python/

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