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IT & Software Other IT & Software Machine Learning

Let's create a ML Classifier, Neural Regressor from Scratch

Supervised Learning Based Classifier Building
Rating: 4.0 out of 54.0 (34 ratings)
11,128 students
Created by Dipnarayan Das
Last updated 11/2020
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • How to create a machine learning classifier from scratch
  • Machine Learning measures / metrics
  • FAQs to clear doubts

Requirements

  • Concept of Algorithm

Description

Guide:

Sohana Sultana

This course will introduce a real-world classifier made from scratch performed better than existing standard classifiers.



The topics covered in this course are:

- STEPS TO CREATE A CLASSIFIER

- DIFFERENT TERMINOLOGIES

- TOPIC SELECTION

- TRAINING

- TESTING

- PERFORMANCE ANALYSIS


Like every presentation need the final touch, this course will cover your gaps in Machine Learning. The skills learned in this course are going to give you a lot of options for your career.


See you inside the course!

Who this course is for:

  • Machine Learning Enthusiast
  • Statistics Enthusiast

Course content

10 sections • 57 lectures • 39m total length

  • Preview00:21
  • Preview00:16
  • FAQ 1
    00:27
  • FAQ 2
    00:16
  • FAQ 3
    00:11
  • FAQ 4
    00:28
  • FAQ 5
    00:37
  • FAQ 6
    00:14

  • STEPS TO CREATE A CLASSIFIER
    00:20
  • HOW WE WILL PROGRESS
    00:39

  • INTRO
    00:06
  • TERMINOLOGY GROUP 1
    00:39
  • TERMINOLOGY GROUP 2
    00:53
  • TERMINOLOGY GROUP 3
    00:43
  • TERMINOLOGY GROUP 4
    00:43
  • TERMINOLOGY GROUP 5
    01:05
  • STYLOMETRIC FEATURES
    00:54
  • NEURAL NETWORK
    00:34
  • SVM
    00:52
  • LEXICAL FEATURES
    01:08
  • SYNTACTIC FEATURES
    00:46
  • SEMANTIC FEATURES
    00:53
  • NAIVE BAYES
    00:25
  • LOGISTIC REGRESSION
    00:36
  • GRAPH AND EXCEL FILE FOR METRICES
    00:12

  • INTRO
    00:03
  • FAQ 1
    00:21
  • FAQ 2
    00:47
  • FAQ 3
    00:26
  • FAQ 4
    00:14
  • FAQ 5
    00:17
  • FAQ 6
    00:40
  • DATASET DESCRIPTION
    01:00

  • INTRO
    00:07
  • WHY THIS PHASE
    00:47
  • FEATURES EXTRACTED
    00:57
  • HOW ARE WE DOING FEATURE ENGINEERING
    00:51

  • INTRO
    00:40
  • TRAINING PHASES
    01:07
  • TRAINING PHASES (Contd.)
    01:16
  • TRAINING PHASES (Contd.)
    00:42
  • WORKING PRINCIPLE
    01:31
  • OUR PROPOSED ARCHITECTURE
    01:30
  • TRAINING PHASE ALGORITHM
    01:16

  • INTRO
    00:30
  • TESTING PHASES
    01:40
  • TESTING PHASE ALGORITHM
    01:05
  • HIT COUNTER
    00:37
  • SELECTION PRESSURE
    00:46
  • POSITIONAL PROBABILITY
    00:44

  • INTRO
    00:07
  • IMPLEMENTATION
    00:50
  • RESULT AND ANALYSIS
    00:39
  • RESULTS
    00:52
  • ANALYSIS AND DISCUSSION:
    00:52

  • LIST OF ACRONYMS
    02:03

  • THANK YOU SESSION
    00:11

Instructor

Dipnarayan Das
Full Stack Developer. Researcher
Dipnarayan Das
  • 3.6 Instructor Rating
  • 210 Reviews
  • 33,748 Students
  • 3 Courses

Hello, my name is Dipnarayan Das. I am a Computer Science Engineer and a Researcher, published many research papers in popular platforms like Elsevier, Springer, IETE, and so on. I will likely assistance you effectively accomplish your objectives and targets, regardless of whether that implies upgrading your current range of abilities, gain efficiency at the working environment, separate yourself, learning the new specialized aptitudes that are required to improve your profession. I generally attempt to make courses shorter and informative to save your time.


In the course of the most recent 4 years, I have obtained significant skills and experience that permits me to furnish you with an extraordinary learning experience. I have various specialized IT and engineer accreditations and accomplished numerous national honours.


My research interests are Embedded Systems, Machine Learning, Data Science, Cryptography and so forth.


As my student, you are my top priority. The entirety of my courses are intended to take into account guarantee a wide assortment of crowd. For instance, if something stays indistinct to you, or you need assistance understanding anything inside my course, simply send me a message and I will be glad to invest somebody one-on-one time with you so as to explain and give answers to your inquiries. This is to guarantee you learn better and hold the information. My courses will help you gain real-world skills and knowledge and change your life.


Much obliged to you for your enthusiasm for my courses, and in me as an instructor, I look forward to seeing you in one of my lectures very soon.


Best Regards,

Dipnarayan Das

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