NumPy, Pandas, Matplotlib in Python for Machine Learning

Learn NumPy, Pandas, Matplotlib in Python for Machine Learning and Data Science in an engaging and exciting way

NumPy, Pandas, Matplotlib in Python for Machine Learning
NumPy, Pandas, Matplotlib in Python for Machine Learning

NumPy, Pandas, Matplotlib in Python for Machine Learning udemy course

Learn NumPy, Pandas, Matplotlib in Python for Machine Learning and Data Science in an engaging and exciting way

What you'll learn:

  • Fundamental stuff of Python and its library Numpy
  • What is the AI, Machine Learning and Deep Learning
  • History of Machine Learning
  • Turing Machine and Turing Test
  • The Logic of Machine Learning such as Machine Learning models and algorithms, Gathering data, Data pre-processing, Training and testing the model etc.
  • What is Artificial Neural Network (ANN)
  • Anatomy of NN
  • Tensor Operations
  • Python instructors on Udemy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels.
  • Machine learning isn’t just useful for predictive texting or smartphone voice recognition. Machine learning is constantly being applied to new industries and new problems. Whether you’re a marketer, video game designer, or programmer, I am here to help you apply machine learning to your work.
  • The Engine of NN
  • Keras
  • Tensorflow
  • Convolutional Neural Network
  • Recurrent Neural Network and LTSM
  • Transfer Learning
  • Python instructors on Udemy specialize in everything from software development to data analysis, and are known for their effective, friendly instruction for students of all levels.
  • Python
  • Machine Learning
  • Deep Learning
  • Machine Learning with Python
  • Python Programming
  • Deep Learning with Python

Requirements:

  • Coding skills are a plus
  • Math skills will boost your understanding
  • Be able to download and install all the free software and tools needed to practice
  • A strong work ethic, willingness to learn and plenty of excitement about the back door of the digital world
  • Just you, your computer and your ambition to get started now!

Description:

Contents and Overview

Welcome to the crash course on Numpy, Pandas, Matplotlib by Teaching Bee. In this course we will go through, basics to advance concepts for each library which are prerequisite of data science field.

In the first module we will cover important concepts of numpy from basic concepts like difference between numPy array with python list, creating numpy arrays to some advance concepts like Boolean indexing broadcasting etc.

In the next section we will be covering concepts of pandas with hands on real world movies dataset and also  see various data preprocessing steps which are involved in machine learning using pandas library

In the third section we will see how to visualise and interpret data using matplotlib library on real world dataset and also see which type plot is used in different scenarios.

As it is said "Practice Makes a Man Perfect", so in last section we will discuss few of the 50+ curated exercise questions provided along with course on the above library which we will help you to master these libraries.


Know your instructor

Teaching bee is a group of industrial professionals with aim to build the required skillset of students using practical hands On. All of our teachers have more than 4 years of industrial experience in there respective domain therefore having required knowledge not only about the subject but also about the requirements of software industry.

Who this course is for:

Course Details:

  • 1.5 hours on-demand video
  • 4 articles
  • 16 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of completion

NumPy, Pandas, Matplotlib in Python for Machine Learning udemy free download

Learn NumPy, Pandas, Matplotlib in Python for Machine Learning and Data Science in an engaging and exciting way

Demo Link: https://www.udemy.com/course/2021-numpy-pandas-matplotlib-for-machine-learning/