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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 deep 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, 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.
Deep 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, Artificial Intelligence have touched almost all the sectors or industry like Finance, Biotech, Engineering, Aerospace, Database, Signal Processing, Information Technology. Because of that openings for ML/AI engineers is more in almost every sectors.Other advantages of taking Machine Learning course:

Other advantages of taking Machine Learning course:

Machine
Learning
Artificial
Intelligence
Deep
Learning
Data
Discovery
Data
Science
Data
Analytics

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

  • Installation and setup of Anaconda Distribution
    1. Installation and setup of Pycharm and VScode
  • Python Introduction and comparison with other Programming language
    1. Important Features of python
  • What Is A String ?
    1. Creating A String
  • What Is A List ?
    1. Creating A List
  • What Is A Tuple and how to create Tuple
    1. Differences between List and Tuples
  • What Is A Dictionary ?
    1. What Is Key-Value Pair ?
  • if Statement
    1. Concept of Indentation
  • What Is A Function ?
    1. Function V/s Method
  • Procedure Oriented Programming vs Object Oriented Programming
    1. What Is A Classes and Object ?
  • Introduction To Exception Handling
    1. Exception Handling Keywords
  • What is logging?
    1. When to use logging?
  • Working with files
    1. Reading and writing files
  • What Is A Database ?
    1. Steps Needed For Connecting To mysql From Python
  • Pandas Series
    1. Pandas DataFrame
  • NumPy Ndarray Object
    1. NumPy Data Types
  • Matplotib Pyplot
    1. Matplotlib Plotting
  • Introduction
    1. Different types of Statistics
  • Feature Engineering and Selection
    1. Create a profile of the data
  • Introduction of machine learning
    1. Difference between Supervised, Unsupervised & Semi-supervised
  • SVR(support vector regressor)
    1. SVC(support vector classifier)
  • Decision Tree Classifier
    1. Decision tree Regressor
  • Ada boosting
    1. Gradient boosting
  • Introduction to K-Means Clustering
    1. Hard K-Means clustering
  • Principal Component Analysis (PCA)
    1. T-distributed Stochastic Neighbor Embedding(t-SNE)
  • Text Analytics
    1. Tokenizing, Chunking
  • Deep Learning Introduction.
    1. Neural Network Architecture.
  • Arima
    1. Sarima .
  • Deployment of all the project in Cloudfoundary, AWS, AZURE & Google Cloud Platform
    1. Expose api to web browser and mobile application retraining approach of Machine learning mode
  • Discussion on project explanation in interview
    1. Data scientist roles and responsibilities
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