Practical Machine Learning : Build Real World Projects

We will work on real world machine learning case studies with python
English
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Build Classification Models
Build Regression Models
Make robust data science models

Requirements

  • Knowledge of machine learning

Description

Machine learning is a very promising subfield of artificial intelligence, where systems have the ability to “learn” through data, statistics and trial and error in order to optimize processes and innovate at quicker rates. Machine learning is giving computers the ability to develop human-like learning capabilities that are allowing them to solve some of the world’s toughest problems, ranging from cancer research to climate change.

How, exactly, is machine learning making computers more human-like? Most computer programs rely on code to tell them what to execute or what information to retain (better known as explicit knowledge). This knowledge contains anything that is easily written or recorded, like textbooks, videos or manuals. With machine learning, computers are now gaining tacit knowledge, or the knowledge we gain from personal experience and context. This type of knowledge is hard to transfer from one person to the next via written or verbal communication.

For example, facial recognition is a type of tacit knowledge. We recognize a person’s face, but it is hard for us to accurately describe how or why we recognize it. We rely on our personal knowledge banks to tacitly connect the dots to immediately recognize a person based on their face. Another example is riding a bike. It’s much easier to show someone how to ride a bike than it is to explain it.

Computers no longer have to rely on billions of lines of code to carry out calculations. Machine learning gives computers the power of tacit knowledge that allows these machines to make connections, discover patterns and make predictions based on what it learned in the past. Machine learning’s use of tacit knowledge has made it a go-to technology for almost every industry from fintech to weather and government.

Who this course is for:

  • Beginners in machine learning

Course content

2 sections10 lectures1h 19m total length
  • Importing libraries and data
    05:31
  • Data cleaning
    04:56
  • data preprocessing
    09:19
  • Data preparation
    06:11
  • Training the model
    14:24
  • Download the project files
    00:03

Instructor

Machine Learning Engineer
TheMachineLearning.Org .
  • 4.0 Instructor Rating
  • 785 Reviews
  • 49,159 Students
  • 21 Courses

TheMachineLearning. org mission is to make highly valuable career skills in machine learning accessible to everyone in the world. Our consortium of expert instructors shares our knowledge in these emerging fields with you. TheMachineLearning. org leverages the power of cutting edge Artificial Intelligence to empower businesses to make massive profits by optimizing processes, maximizing efficiency and increasing profitability.