IT & Software Other Data Science

Data Science with Analogies, Algorithms and Solved Problems

Machine learning, Data Mining, Data Science, Deep Learning, Data analysis, Data analytics, Python, Visualization
Rating: 4.0 out of 5 (96 ratings)
6,358 students
Created by Ajay Dhruv, Neha Mayekar, Shreya Pattewar, Shubham Patil
Enroll now
Data Science with Analogies, Algorithms and Solved Problems
Rating: 4.0 out of 5 (96 ratings)
6,358 students
Buy now
Truly understand what Algorithms, Big Data, Machine Learning, and Data Science is.
To understand how these different domains are distinct and how they collaborate as well.
To really understand where these concepts are used using real life analogies.
To understand the different algorithms and their working.
To learn how these algorithms are applied to solve various problems.

Requirements

  • Basic mathematics and computer skills.

Description

Interested to know about the field of Machine Learning?

Then this course is for you! This course has been designed such that we can share our knowledge and help you learn complex theory, algorithms and coding libraries in a simple way.

We will walk you into the World of Machine Learning. With every tutorial you will develop new skills and improve your understanding of this field. While preparing this course special care is taken that the concepts are presented in fun and exciting way but at the same time, we dive deep into machine learning.

Here is a list of few of the topics we will be learning:

• Difference between Data Mining and Deep Learning

• Data and 5 Vs of Big Data

• Types of Attributes

• Outliers

• Supervised learning, Unsupervised learning, Reinforcement learning

• Python Libraries

• CNN, RNN, LSTM

• K - means Clustering Algorithm

• Bayesian Algorithm, ID3 Algorithm

• Simple Linear Regression

• Anaconda

• Visualization

Who this course is for:

  • People/Researchers interested in machine learning
  • Technologists who are curious about how deep learning really works
  • Any student willing to begin a career in machine learning
  • People who want to brush up their basics.

Course content

3 sections • 18 lectures • 1h 19m total length

Introduction6 lectures • 28min

  • Introduction
    01:15
  • Data Mining and Deep Learning
    04:16
  • Big Data
    05:35
  • Attributes
    05:56
  • Outlier
    04:27
  • Libraries in Python
    06:41
  • Quiz 1
    6 questions

Instructors

Ajay Dhruv
Assistant Professor at VIT Mumbai, India
Ajay Dhruv
  • 4.0 Instructor Rating
  • 115 Reviews
  • 7,625 Students
  • 2 Courses

I'm currently an Assistant Professor with immense passion in teaching various subjects of Computers & IT for undergraduation and postgraduation engineering students. My interests are Data Mining, Data Science and IT infrastructures. I have an experience of over 7 years in teaching inclusive of 3 years in research. I have published more than 10 technical papers in International Journals/Conferences. My lectures on YouTube have over 45000 views. I'm awarded Scholarship in 2012 by Bayer group of companies in pursuit of academic and career excellence.

Neha Mayekar
Student at Vidyalankar Institute of Technology
Neha Mayekar
  • 4.0 Instructor Rating
  • 115 Reviews
  • 7,625 Students
  • 2 Courses

Pursuing engineering in the field of Information Technology at Vidyalankar Institute of Technology, Mumbai, India. I am an enthusiastic student. Along with academics I like to try new things and do some extra curricular activities. I have a conference paper published in an international conference. Also using Udemy as a platform to share my knowledge.

Shreya Pattewar
Student at Vidyalankar Institute Of Technology
Shreya Pattewar
  • 4.0 Instructor Rating
  • 115 Reviews
  • 7,625 Students
  • 2 Courses

Persuing engineering in the field of Information Technology from Vidyalankar Institute of Technology, Mumbai, India. I have technical paper published in international conference. Along with academics, I like to explore new things and gain knowledge of various technologies. I am an enthusiastic student. I love to be surrounded by technological innovations.

Shubham Patil
Pursuing IT Engineering from VIT Mumbai, India
Shubham Patil
  • 4.0 Instructor Rating
  • 115 Reviews
  • 7,625 Students
  • 2 Courses

Pursuing engineering in the field of Information Technology at Vidyalankar Institute of Technology, Mumbai, India. I am an enthusiastic student. Along with academics I like to try new things and do some extra curricular activities. I have a conference paper published in an international conference. Also using Udemy as a platform to share my knowledge.