Machine Learning Training in Jaipur, Summer Internship Course:DZONE
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Learn Machine Learning

Machine Learning Training and Internship

 

 

Cost-effective course for short period

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Course Details

  • ML - Rs 6000/-*
  • Python - Rs 5000/-*
  • Package Course Fee - Rs 11000 10000/- *Discounted
  • Duration - 2 Months
  • New Batches - Starts on 1st & 15th April 2019
    • *Installments are available.
    *For College Students only.

  • Institute Timings:
    • Open: 8:30 A.M.
    Close: 7:00 P.M.
  • Weekend Batches available for professionals.
  • Free Demo Classes available. Call us at 8432830240 to book demo session.
  • Different Ways Of Enrollment
    • Visit our branch for the registration.
    • Make Payment via Online Banking. Details:
      • Account Name: DZONE
      Account Type: Current A/c
      Name: Central Bank of India
      Account No.: 3042317496
      IFSC: CBIN0283747
    • Make payment via Paytm at 8432830240.
  • Discounts are available for Groups, Referrals and to former or existing students as well.

Worried about good trainer?
Just leave your all doubts, that we have the Trainer who has vast development experience in IT developemnt sectors and has in-depth knowledge and Industry skills to share with you.He has coding experience in Software industry since last 20 years.

Thinking about benefits of certificate? or What you would be after this internship program?

Let me explain, No doubt that you know the whole concepts of How to automate gadgets? and well program them to complete the given task by using python machine learning libraries and code algorithms.

After Course Completion students can handle various task related programming of the machine with large data sets and can feed the future vision,trends and forcasting algorthims in devices means AI.

As you complete our project a Certificate of participation is also awarded to each candidate involve in project workshops.

Our Placement partners and associates help trainees to perform better interview and catch the good JOB in IT Companies with handsome salary in hand.

Forecasting study says that in next few years there is a huge demand of Machine Learning skilled professional and AI developers. IT companies hiring ML and AI technicals at higher salary packages. All Collages and universities also started academic programs for Machine Learning Certifications. Big opportunities in Research and Analytics sector of Home Appliances and Gadgets.

Classroom learning sessions are followed by practically implemented code, online videos , Work assignment and hands on Project and multiple ML tools. Our Comprehensive curriculum cover all required technical knowledge and focused on more practical application instead of theory sessions. Our personalized mentorship will help you to succeed in every Interview and grab JOB quickly

Training Track

Here you will easily learn how to train a machine according to a specified model and test it for accurate result through multiple regression techniques. You will go for deep Learning , NLTK , NLP ,Keras , TensorFlow etc. during Internship program to develop AI algorithms and ML engines.

During practice sessions you will get the benefit to work on following projects..

  • Online Messaging System
  • Inteligant Answering Gadgets
  • Face Identificarion
  • Server Interaction

  • Introduction to ML
  • A Brief History
  • Installing Python
  • Using IDLE Environment
  • Make a 'Hello World' Program
  • File .py extention

  • Variable Declaration
  • Python Single & Multiline Statements
  • Understanding Print command
  • Making Comments
  • Getting User Input
  • Calculating Expressions
  • Indentation ,How to care
  • Data Types

  • If-Else Blocks
  • Understanding Indents
  • Nested If-else
  • Logical Examples

  • Itration with for Loop
  • While
  • Nested Loops
  • Break
  • Continue
  • Pass

  • Defining Function Body
  • Calling Functions
  • Built-in Funs
  • What are Arguments
  • Binding Default Values
  • meaning of Void
  • Scope
  • Lambda
  • Closures

  • Basics of oop's
  • Creating Classes
  • Instance Methods
  • Data Hiding
  • Special Class Method
  • Inheritance
  • Method Overriding
  • Encapsulation

  • String Indexing
  • Slicing
  • Single and Triple-Quoted String
  • Using Raw String
  • Slicing and Range
  • String Functions

  • List
  • Tuples
  • Dictionaries
  • Sets
  • Binding Default Values
  • Void Functions
  • Scope
  • Lambda
  • Closures

  • What is a module
  • Creating a Module
  • Setting Path
  • Implementing Import
  • Module Search Path
  • Using Math, OS and SYS

  • Connection to Core Data
  • Implementing SQL Queries
  • MySQL Connection
  • Data Operations
  • Crud Cycle
  • Using MySQL & SQLLite

  • What are Exception and Run Time Errors
  • Need of Exception Handling
  • Predefined Exceptions
  • Predefined Exceptions Hierarchy
  • Except, try, finally Clause
  • Handling Multiple Exceptions
  • User Defined Exceptions
  • Raise Statements
  • Assert

  • NumPy Basics
  • NumPy Arrays
  • Quick Note on Array Indexing
  • NumPy Array Indexing, Slicing, Subset, etc
  • Reshaping, Resizing and transposing of Arrays
  • Array Manipulations(insert, delete, join, split operations)
  • Visualize NumPy Arrays
  • NumPy practice Assignments

  • Introduction to Pandas
  • Series
  • Dealing with DataFrames
  • Handling Missing Info
  • Reading bytes from Files
  • Aggregation and GroupBy Operations
  • Merging, Joining and Concatenating
  • Various Operations
  • Input and Output

  • Matplotlib Intro
  • Ploting Graph, Histogram
  • Matplotlib Implementation

  • What is Seaborn
  • Distribution Plots
  • Categorical Plots
  • Histograms
  • Matrix Plots
  • Regression Plots
  • Grids
  • Style and Color
  • Seaborn Exercises

  • Pandas Built-in Data Visualization
  • Pandas Data Visualization Exercises
  • working on Different Graphs
  • Geographical Plotting

  • Accessing Images
  • Image Croping
  • Resizing
  • Transformation
  • GrayScale Conversion
  • Edge Detection
  • Managing Thresholding
  • Detecting Contours

  • What is Machine Learning
  • Extracting info
  • Seprating Training and Testing sets
  • Applying classification Angorithims
  • Checking Accuracy
  • SciKit Learning Using Python

  • Regression Theory
  • Linear Regression using Python
  • Cross Validation & Bias Variance Trade Off
  • Logistic Theory
  • Logistic Regression with Python
  • Regr. Examples

  • What is KNN
  • Using KNN in Python
  • KNN Sample code

  • Introduction to Tree Methods
  • Decision Trees and Random Forest with Python
  • Hands on Decision Trees

  • SVM Theory, SVM with Python
  • K Means Algorithm Theory with Python
  • PCA with Python
  • What is Natural Language Processing

  • Connection to Remote Website
  • Fetching Contents
  • Extracting HTML Contents

  • What are Sockets
  • Creating Sockets
  • Server-Client Socket Methods
  • Connecting Client Server
  • Managing Client-Server Connection
  • Using MQTT Protocols
  • MQTT Chat

  • Introduction to Neural Network Theory
  • Basics of TensorFlow
  • TensorFlow & ContribLearn

Related Links : Let's start How to train Machines to perform task intelligently. Here are Top 10 Libraries for Machine Learning Other Useful Links Go to Home How to Install Python ? Let's start play with IDLE Want to make Career in Python? Want to know about Unique Features What is Data Science. Learn more about Visualization Top 10 Analytical & ML Libraries Why to go for Artificial Intelligence?

 

Lets make Machine

that automate your work

Institute provide Training on Object Oriented Programing Course with Certificate and JOB