Machine Learning Online

Machine Learning

Training Overview

Learn Machine Learning online. In the past couple of years, the humongous amount of data has been created by humans. Thus, machine learning models are essential to gain valuable insights from data via analyzing the pattern. Therefore, businesses are using machine learning algorithms.

In the coming years, there won’t be a single industry in the world untouched by Machine Learning. You probably already use applications many times each day that rely upon Machine Learning techniques such as YouTube, Netflix, Spotify, etc. AI/ML has changed the way we communicate, travel, perform our routine tasks like shopping, internet surfing, and doing our business. So why stay in the dark any longer?

Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. If you take this course, you will be prepared to enter and understand any sub- discipline in the world of Machine Learning.
  • Master Machine Learning on Python
  • Have a great intuition of many Machine Learning models.
  • Know which Machine Learning model to choose for each type of problem.
  • Build an army of powerful Machine Learning models and know-how to combine them to solve any problem.
  • Learn All the Mathematics Required to understand Machine Learning Algorithms
  • Implement Machine Learning Algorithms along with Mathematic intuitions.
  • Make a powerful analysis and accurate predictions.
  • Make robust Machine Learning models.
  • Create strong added value for your business.
  • Use Machine Learning for personal purposes.
  • Handle advanced techniques like Dimensionality Reduction
  • Face detection with OpenCV
From developing smartphones, chatbots to self-driving cars in demand for these technology learners are at an all-time high. Companies recruit for positions like Machine Learning Engineer, Machine Learning Analyst, NLP Data Scientist, Data Sciences Lead, and Machine Learning Scientist.
  • The well-crafted course as per the international standards.
  • Certified and Industry experience trainers.
  • Industry-standard project learning.
  • Live virtual classes.
  • Doubt clearance.
  • Focus on interview level examples.
At CoderMask, a team of highly experienced machine learning trainers is awaiting to take you to an interactive journey of machine learning use with python. We avail video lectures and practical training programs that help you learn from scratch to pursue a career as a data scientist. Our machine learning online course with python is available at an affordable price to make learning accessible to all aspirants.

Introduction to Machine Learning

  • About Machine Learning
  • Life Cycle of Machine Learning
  • Skills required for Machine Learning
  • Application of Data Science

About Programming

  • What is programming?
  • Different programming languages.
  • Why choose python programming?

About Python

  • Features
  • Applications
  • Popular Python IDEs
  • How to install Python
  • How to work with different IDEs
  • Introduction to Jupyter Notebook

Basics of Python Programming

  • Comment, Statement
  • Tokens
  • Keyword, Identifiers, Delimiters, Literals
  • Identifiers
  • Variable

Python Basic Data Types

  • String
  • Numeric

Python Control Flow Statement

  • Decision Statement
  • Loop Statement

Python Advanced Data Structure

  • List
  • Tuple
  • Dictionary
  • Set

Python Programming Style

  • Procedural programming
  • Object-oriented programming

Python Module and Package

  • Popular built-in module and packages for Data Science
  • User-defined module and packages

Exception Handling

  • Exception Handling Class and Statements
  • Custom Exception Handling

Regular Expression

Introduction to Numpy

  • N-Dimensional Array Data Structure
  • Working with Matrices

Introduction to Pandas

  • Pandas series data structure
  • Pandas data frame and data structure
  • Working with CSV, HTML, Excel, etc

Introduction to Matplotlib

Data Processing

  • Missing data handling
  • Categorical data handling
  • Outlier treatment

Data Analysis

  • Exploratory data analysis

Data pre-processing

  • Feature scaling
  • Feature engineering

Predictive Model Building Using Scikit Learn

  • What are predictive analysis and its type
  • Regression Model Building
  • Linear Regression
  • Gradient Descent
  • Polynomial Regression
  • Ridge Regression
  • LASSO Regression
  • K-Nearest Neighbor
  • Classification Model
  • K-Nearest Neighbor
  • Logistic Regression
  • Decision Tree
  • Ensemble Learning
  • Bagging
  • Boosting
  • Random Forest
  • Naive Bayes
  • Support Vector Machine
  • Clustering Model
  • K-Mean Clustering
  • Mean Shift Algorithm
  • Hierarchical Clustering

Model Evaluation and Hyper Parameter Tuning

  • Cross-validation
  • Grid search cross-validation
  • Random search cross-validation

Text Data Processing

  • Introduction to Text Processing
  • Text Processing using NLTK
  • Predictive Model Building

Image Data Processing

  • Introduction to Image Processing
  • Text Processing using OpenCV
  • Predictive Model Building

Introduction to Neural Network using Scikit-Learn

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Training Details:-

 Training Stream  Computer Application
 Training Mode  Online -  Live Virtual Classes
 Duration  90 hrs, Almost 32 Classes
 Days  Weekend (Sat & Sun), Weekdays (Tue & Wed)
 Roles  Machine Learning Engineer, Machine Learning Analyst, NLP Data Scientist, Data Sciences Lead, and Machine Learning Scientist.
 Course Fee  11,500 INR (Installment Available)* T&C
 Certification  Yes


Registration Process

  • You can register yourself online via our website only.
  • Click on “Register Now” or "Apply Now". It will redirect you to the Payment Gateway page, fill out the required details.
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Course FAQs

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  • Credit and Debit Card
  • Wallets
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Once payment is received, you will redirect to the registration page, fill all the information. After completing this process, you will automatically receive a payment receipt and access information via email.
  • Anyone can learn this course.
  • No requirement of any technical degree.
  • No need of any prerequisite skills.