DATA ANALYTICS USING PYTHON TRAINING IN CHENNAI

Machine Learning Training in Chennai at BTree System offers hands on training in Artificial Intelligence technology stream. Being one of the top training institutes for Data Science and Machine Learning Courses in Chennai, we provide the Machine Learning training with Python and MATLAB.
Since we are living in data age, we must know handling data. The course gives importance to Data Miningas well. People are forced to be automated.Machine Learning is automating the automation. It is right decision in right time to learn Machine Learning.
Join our Machine Learning Training Institute Chennai, Tiruvanmiyur, Enhance your skill sets in machine Learning, Data science, Data Mining etc., and build your career.
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What is Exploratory Data Analysis (EDA)?

What is Data Science?

The machine learning is a method of facilitating machines to learn by themselves without programming them explicitly. The current research in machine learning focuses on knowledge representation, pattern recognition and image processing, cognitive computing, etc. Now a days, machines collect data through senses like humans and processes the data using machine learning methods and computational intelligence tools to classify, predict, group and to make decisions accordingly.
Machine learning is applied in medical fields to detect cancer tissues. Paralysed persons communicate their wishes or needs through their brain signals.Still lot to know about Machine Learning, reach us today.

Why Exploratory Data Analysis with Python?

Upon the completion of this course, you will have a thorough knowledge in the following

  • Concepts of Supervised learning and Unsupervised Learning
  • Data Mining for Machine Learning
  • Programming of Artificial Neural Network, Support Vector Machine, Linear Regression, K- means Clustering, Nearest Neighbour, Naïve Bayes.

Principles and applications of Machine Learning Algorithms

What are Prerequisites are need to learn Exploratory Data Analysis Python Course?

Upon the completion of this course, you will have a thorough knowledge in the following

  • Concepts of Supervised learning and Unsupervised Learning
  • Data Mining for Machine Learning
  • Programming of Artificial Neural Network, Support Vector Machine, Linear Regression, K- means Clustering, Nearest Neighbour, Naïve Bayes.

Principles and applications of Machine Learning Algorithms

9 + 2 =

BTREE SYSTEM – Key Features

Training from
Industrial Experts
Hands on
Practicals/ Projects
100% Placement
Assistance
24 x 7
Expert Support
Certification
of Completion
Free
Live Demo
  • Strong Knowledge of Data Mining and what data or pattern to be mined
  • Detail knowledge of statistical analysis of data
  • Master in the concepts of supervised, unsupervised, reinforcement learning
  • Good knowledge in programming using MATLAB and Python
  • Ability to program the machine according to the data for classification, clustering or making decisions etc.,
  • Ability to check the models with various measures
  • Ability to generate own code in MATLAB and Python for various Machine algorithms
  1. Machine Learning (session 1)
    • Introduction to Machine Learning
    • Demand of Machine Learning
    • Applications of Machine Learning
    • Different types of Machine Learning
    • Supervised Learning
    • Unsupervised Learning
    • Reinforcement Learning
  1. Know Your Data (session 2)
    • Data Objects and Attributes type
    • Basic Statistical Distributions of Data
  1. Algorithms in Machine Learning
    • Introduction to Support Vector Machine
    • Maximal Margin Classifier
    • What is kernel function?
    • Various types of Kernel functions
    • Need for kernel function
    • Programming SVM for Linearly separable data
    • Programming SVM for Non-Linearly separable data using kernel function
    • Naive Bayes Technique (session 6)
      • Basic concepts of Probability
      • Classifying with Naïve Bayes
      • Exercise in Classifying the given test data in MATLAB
    • Nearest Neighbour (session 7)
      • Introduction to Nearest Neighbour Algorithm
      • Build a 3 nearest neighbour model for classifying the given dataset in MATLAB
    • Neural Network(session 8-10)
    • Basic structure of Neural Network
    • Types of Neural Networks
    • What is Learning rate?
    • What is activation function?
    • Types of activation function.
    • Design a perceptron for pattern identification.
      • HebbNetwork design steps
      • Exercise in Classifying the given input patterns using Hebb network
      • Single layer feed forward network design steps
      • Exercise in Classifying the given input patterns using Single layer Perceptron
      • Kohonen Self – Organizing Feature Map design steps
      • Exercise in clustering of input patterns using Kohonen Self – Organizing Feature Map(KSOFM) in
    • K means Clustering (session 11)
      • Introduction to K meansClustering
      • K means algorithm
      • Practice in 3 means clustering of given data
    • Linear Regression(session 12)
    • What is linear regression?
    • Gradient Descent overview
    • Gradient Descent calculations

Duration for Machine Learning Hands-on training is 2 to 3 months

  • Experienced professional helps you to become an expert in Machine Learning
  • Hands on assignments and projects help you to highlight  your expertise in machine learning for job search
  • E – content for machine learning can be accessed at anytime

Have Queries? Ask our Experts

Data Analytics Course in Chennai

BTree Systems offers Machine Learning course with following  programming languages,

  • Machine Learning with Python
  • Machine Learning with MATLAB
Trainer Profile of Data Science Training in Chennai

Why join BTree Systems for Machine Learning ?

  • Graduates in any discipline(computer science, Electronics, Mathematics and Engineering) with minimal mathematical knowledge can also attend this course
  • Detailed Course Plan to help both Fresher & Experienced Professionals.
  • Flexible training sessions allowing candidates to choose between week day or week end classes
  • Skilled and expert trainer researching in Artificial Intelligence with 10+ years of experience as academician
  • Training Includes theoretical as well as practical sessions for all the algorithms
  • Our trainers demonstrate every concepts practically by which you can apply machine learning techniques to solve real world problems easily.
  • Professional teams to assist with Career guidance, Interview preparation, Mock Interviews, Placement Counselling, Resume writing and Job updates
  • Best Machine Learning training with nominal course fees.

To know more about our Machine Learning course you can also attend our free Machine Learning demo session and discuss with our consultant to know about the topics and Machine Learning projects that is included in this training program.

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Nearby Access Areas
Our Velachery and OMR branches are very nearby access to the below locations.
Medavakkam, Adyar, Tambaram, Adambakkam, OMR, Anna Salai, Velachery, Ambattur, Ekkattuthangal, Ashok Nagar, Poonamallee, Aminjikarai, Perambur, Anna Nagar, Kodambakkam, Besant Nagar, Purasaiwakkam, Chromepet, Teynampet, Choolaimedu, Madipakkam, Guindy, Navalur, Egmore, Triplicane, K.K. Nagar, Nandanam, Koyambedu, Valasaravakkam, Kilpauk, T.Nagar, Meenambakkam, Thiruvanmiyur, Nungambakkam, Thoraipakkam, Nanganallur, St.Thomas Mount, Mylapore, Pallikaranai, Pallavaram, Porur, Saidapet, Virugambakkam, Siruseri, Perungudi, Vadapalani, Villivakkam, West Mambalam, Sholinganallur.
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