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Machine Learning Training in Ahmedabad

Machine Learning is the most popular and highly in-demand and Job-oriented skill in the IT Industry. In today’s era, most of the advanced tech products are driven by Machine Learning (or Artificial Intelligence). People generally use big tech phrases to explain the concept of machine learning like Self Driving cars, Face recognition, Fingerprint identification, etc. We at Logicrays, help you to understand the core concept of ML/AI with hands-on experience.

This course is beginner friendly and will give you a clear picture of the Machine Learning world. During the course students will design and develop interesting live-projects like Predicting the House Price, Temperature Prediction of a Day, Facial Recognition, Animal recognition, etc. After completing this course you will be able to design high end Machine Learning Model.

What is Machine Learning and AI

Right now in industry people uses many terms like Machine Learning, Artificial Intelligence, deep Learning , Data Discovery , Data Science, Data Analytics very interchangibly but they all are very similiar to each other. In other way we can say that all the fields are stiched together and uses similiar techniques.

In one sentence, machine learning is way of creating a computer program that improves with experiments. Generally ML involves creating models (models means program logic that can not be written by humans itself). For example think about writing program logic for Face Recognition, how would you write with your programming knowledge it is quite difficult , isn’t it? So, to handle that kind of task you will use machine Learning technique.

Machine Learning is active field of research and have vast promissing in the present time and near future. All the BIG TECH Giants are using machine learning in their hard core products. Think about Amazon , Google, Flipkart, Dropbox, Zomato, Facebook, Spotify, etc. all these company are using ML in their product development.

Why you need to learn Machine Learning

Today, machine learning have touched almost all the sectors or industry like Finance, Biotech, Engineering, Aerospace, Database, Signal Processing, Information Technology. Because of that openings for ML engineers is more in almost every sectors.

Other advantages of taking Machine Learning course:

  • Better career opportunities and growth
  • Better salaries
  • Lack of machine learning skill in Software companies
  • After getting knowledge of machine learning you can also take up roles of Data Analytics, Data Science.
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Why you should register at Logicrays for Machine Learning in Ahmedabad?

  • Help to get knowledge of core machine learning concepts
  • Get the core concept of Deep Learning
  • Learn Machine Learning with practical example
  • Proven and well tested teaching methods for beginner
  • Get mentored by industry best machine learning expert
  • Learn to develop industry standard Machine Learning projects

For any questions, you can contact us or visit LogicRays Academy center.

Machine Learning Course Details

  • Overview
  • Introductory Remarks about Python
  • A Brief History of Python
  • How python is differ from other languages
  • Python Versions
  • Installing Python and Environment Setup
  • Variables
  • Memory mapping of variables
  • Keywords in Python
  • Comments in python
  • Operators
  • Basics I/O and Type casting
  • Getting user input
  • All datatype in python
  • Introduction to Python 'Number' & 'string' data types
  • Properties of a string
  • String built-in functions
  • Programming with strings
  • String formatting
  • Introduction to Python 'list' data type
  • Properties of a list
  • List built-in functions
  • Programming with lists
  • List comprehension
  • Introduction to Python 'tuple' data type
  • Tuples as Read only lists
  • Introduction to Python 'dictionary' data type
  • Creating a dictionary
  • Dictionary built-in functions
  • Introduction of Decision Making
  • Control Flow and Syntax
  • The if Statement
  • The if..else Statement
  • The if…elif…else Statement
  • Nested if…else Statement
  • The while Loop
  • break and continue Statement
  • The for Loop
  • Pass statement
  • Introduction of functions
  • Function definition and return
  • Function call and reuse
  • Function parameters
  • Built in functions
  • Modules
  • Importing module
  • Packages
  • Understanding exception
  • Run Time Errors
  • Handling I/O Exceptions
  • try, except, else and finally statement
  • raising exceptions with: raise, assert
  • Working with files
  • File objects and Modes of file operations
  • Reading, writing and use of 'with' keyword
  • read(), readline(), readlines(), seek(), tell() methods
  • OOPs concepts: Classes and objects
  • Making of a class and module namespace
  • Deep understanding of self and init ()
  • Inheritance and Overriding
  • Overloading functions
  • Operator overloading
  • Encapsulation: Hiding attributes
  • numpy
  • pandas
  • scipy
  • scikit-learn
  • Tensorflow
  • What is Machine Learning
  • Types of Data used in Machine Learning
  • Application of Machine Learning
  • Supervised Vs Unsupervised
  • Workflow to train machine learning model
  • Training and testing machine learning model
  • Validation of machine learning model
  • Linear regression
  • Linear classification
  • Logistic regression
  • KNN
  • Bayes Classifier
  • Support Vector Machine (SVM)
  • Decission tree
  • Ensemble Methods
  • Boosting and Ada Boosting
  • Principal Component Analysis (PCA)
  • Clustering
  • K-means algorithm
  • DBSCAN Clustering algorithm
  • Gaussian Mixture Model
  • Markov Decission Process
  • Q-Learning
  • Perceptron algorithm
  • Neural network
  • Deep Neural Network

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