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Machine Learning Training (90% Practical Training)

Mon, 24 Feb 10:00AM - Wed, 25 Mar
R-7 Techvanto Pvt Ltd,New Delhi
Rs 7500
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  • Machine Learning 
    Introduction to machine learning
    Understanding the need
    Understanding Big data and machine learning
    Running machine learning under Linux platform
    Introduction to Redhat Enterprise Linux
    Why Linux is important for machine learning with respect to future
    Role of Python and R programming in this domain
    Basic Introduction of Python syntax and programming logics
    Deep dive with Supervised, Unsupervised and Reinforcement learning
    Algo discussion with use case
    Popular machine learning framework like TensorFlow, sci-kit-learn

  • Python programming
    Basic of python and why python for machine learning
    Installation of software on different OS.
    Understanding basic syntax with data types
    List, dict, tuple, string
    Extracting data from a file
    Committing your code to GITHUB


  • More about python programming
    Conditional statement and loops
    Function and modules
    File handling
    Creating own modules/library
    Web scraping with urllib2
    Grabbing system information from Popen and os library
    Scanning Network IP & MAC address with loops


  • Introduction to Ipython with jupyter notebook
    Using jupyter notebook with Ipython & Python
    UDP Socket programming
    Exception & Signal handling
    Making chat program with UDP socket


  • Extending chat programming
    Introduction to pandas
    Making data frames with pandas
    Handling xls & csv files with pandas
    Loading and extracting existing xls files


  • Project 1- Online/offline SMART Chatting Machine like Whatsapp
  • Introduction to Numpy & Matplotlib
    Managing array with NumPy
    A multidimensional array with NumPy
    Unit matrix handling & creating
    Deleting indexes from the matrix
    Deep dive with Matplotlib
    Drawing general purpose graphs
    Graphs with mathematics


  • Working with Python for ML
    Supervised Learning lab with Hello World Program
    Running the installer and use case
    Jupyter notebook for machine learning
    Installation of jupyter notebook
    DecisionTree classifier implementation
    Practise lab with DecisionTree algo and number of examples
    Making own algo with training data with python


  • Machine learning techniques
    Types of learning
    The advice of applying machine learning
    Machine learning System Design
    decision tree also deep dive
    Training your machine with real-time datasets
    Deep dive with UCI
    Lab session for loading data from different APIs
    Detecting data from NumPy and converting


  • Introduction to iris datasets
    Understanding iris datasets
    Modifying and loading with scikit-learn
    Separating data with numpy
    Training classifier
    Algo data process view
    Decision Tree understanding


  • Introduction to Boston house and Pima-Indians diabetes datasets
    Understanding diabetes datasets
    Applying algorithms like Navie Bayes and SVM
    Implementing graphs with availability
    Deep dive with algos


  • Project 2: Make your personal virtual assistant like Google Assistant, Cortona
    and Siri.


  • Supervised learning
    Case study learning in regression
    Case study learning in classification
    Comparing the result of Decision Tree and Navie Bayes algo
    Grappling with Matplotlib for comparison


  • Supervised Advanced
    Deep learning vs Machine learning
    Case study in clustering and measuring
    SVM lab
    Introduction to cloud computing for Machine learning


  • Deep Learning for image search and Recognition
    Searching for image
    Loading image with cloud library
    Registering image for training model
    Browsing image from url and local
    Training image datasets
    Recognition of different images to detect face
    Deregistering images from cloud library
    Pushing code to github for automatic updates


  • Live Image Processing and ML
    How image search is going to work
    Taking pictures with python for image processing
    Loading and registering images
    Face detection with android sdk


  • Project: SMLS 1.O (Smart Machine Learning System)
    Machine Learning & Data Science with Python


  • Executing containers for GPU
    Introduction to openAI
    Introduction to gym and universe and Loading flash games
    Pygames implementation with containers
    Real-time games playing with gym and universe


  • Data summarization
    Data summarization understanding
    Writing program for data summarization
    Deep learning example for future data and breath


  • Search engine recommendation
    Writing program for search engine recommendation
    Making a platform for email classification
    Detecting spam or HAM in Gmail SMTP
    Connecting with with SMTP
    Read and verify mail category


  • Project 3: Face and expression recognition based Smart Music Player and


  • Communication System using ML Algos
  • Machine learning with Amazon cloud
  • Image processing with amazon cloud
  • Introduction to Reinforcement learning
  • An example implementation of reinforcement learning
  • Neural Networks analysis
  • Understanding neural networks
  • Data learning and machine predictions
  • Neural networks real understanding
  • Neural network implementation with real datasets


  • Project 4: Development of your own JARVIS(An Computerised Intelligent

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R-7 Techvanto Pvt Ltd,New Delhi MG Road,Ghitorni,New Delhi
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