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Development Data Science Machine Learning

Fundamentals of Machine Learning with Python Implementation.

Learn Fundamentals of Machine Learning from scratch to make students well equipped with all basics and math involved
Rating: 3.7 out of 53.7 (123 ratings)
19,154 students
Created by Three Millennials
Last updated 7/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Use Python for Data Science and Machine Learning
  • Implement Machine Learning Algorithms
  • Handle advanced techniques like Dimensionality Reduction
  • Know which Machine Learning model to choose for each type of problem
  • Basics of Reinforcement Learning
  • Linear Regression
  • Logistic Regression
  • Clustering
  • SVM
  • Neural Network Concept
  • Random Forest
  • PCA and SVD

Course content

11 sections • 28 lectures • 6h 50m total length

  • Preview08:41

  • Supervised and Unsupervised Learning
    17:26
  • Reinforcement learning
    25:55

  • Linear regression Part 1
    22:25
  • Linear regression Part 2
    14:42
  • Overfitting and Regularization
    18:55
  • Preview08:05

  • Logistic Regression Part 1
    12:49
  • Logistic Regression Part 2
    09:33
  • Logistic Regression Implementation
    04:35

  • Resources and datasets for next sections
    00:04

  • SVM part 1
    12:37
  • SVM part 2
    20:10
  • Bias Variance
    15:21
  • SVM Implementation
    07:36

  • Random Forest
    17:50
  • Random Forest Implementation
    12:56
  • Putting it all together
    07:32

  • Neural Networks Part 1
    23:58
  • Neural Networks Part 2
    22:28

  • Computing accuracy and Dimensionality reduction
    24:10
  • PCA and SVD
    20:13
  • PCA Implementation
    04:20

  • Clustering
    21:25
  • K means Visualization
    06:45
  • K means Implementation
    10:23

Requirements

  • Basics of python programming
  • Linear algebra (understanding of matrices)
  • Differential calculus (optional)

Description

Hello there! Welcome to Fundamentals of Machine Learning with Python Implementation. There are many courses available out there for this domain but what makes us different is that the learning in this class is gradual. All the concepts are built from scratch to give students a fair idea of how various algorithms work in addition to live demonstrations

In this course, students will acquire a good understanding of basic concepts of machine learning. The course also introduces students to deep learning (neural nets) and also artificial intelligence. The concepts are developed from scratch to make students well equipped with all the basics and math involved with all machine learning algorithms

Some concepts we cover include

  • Various types of learning like supervised, unsupervised and reinforcement learning.

  • Various supervised learning algorithms like linear and logistic regression.

  • Clustering techniques.

  • A brief introduction to Neural Nets.

  • Parameter tuning, data visualization and accuracy estimation techniques

  • Reinforcement learning techniques like Q-learning and SARSA

  • Deciding which algorithm fits for a given problem


Knowing all of these techniques will give an edge to the developer in order to solve many real world problems with high accuracy.

Who this course is for:

  • Anyone interested in Machine Learning.
  • Students who want to start learning Machine Learning.
  • Any people who are not that comfortable with coding but who are interested in Machine Learning and want to apply it easily on datasets.
  • Any students in college who want to start a career in Data Science.
  • Any computer science student hoping to broaden their skillset
  • Anyone interested in Machine Learning Including business leaders, managers, app developers, consumers - you!

Instructor

Three Millennials
Development | Programming | Entrepreneurship | Teaching
Three Millennials
  • 3.7 Instructor Rating
  • 909 Reviews
  • 85,670 Students
  • 9 Courses

Three Millennials

We transform students who are just beginners into paid professionals.

We have over 85,000+ Happy Students Learning from our courses. Our courses diversify from Web Development to Mobile App Development (Both iOS and Android Development) to Python Programming, Unity Development, Machine Learning, Artificial Intelligence, and much more.

We believe that the knowledge we share today will become the leading experience for tomorrow. Our primary motive is to help others learn variety of skills and give them sufficient knowledge, so they can excel in their careers.

Feel free to reach out to us with any questions you have regarding our Courses or any questions for that matter.

We are passionate about helping people reveal their hidden talents and help them learn the skill they are ardent about.

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