DINS InfoTech | Machine Learning Training Institute in Pimpri Chinchwad Pune

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A subset of artificial intelligence (AI), machine learning (ML) is the area of computational science that focuses on analyzing and interpreting patterns and structures in data to enable learning, reasoning, and decision making outside of human interaction.

Machine Learning Syllabus

  • Python Core Objects and builtin functions
  • Number Object and operations
  • String Object and Operations
  • List Object and Operations
  • Tuple Object and operations
  • Dictionary Object and operations
  • Set object and operations
  • Boolean Object and None Object
  • Different data Structures, data processing

  • What are conditional statements?
  • How to use the indentations for defining if, else, elif block
  • What are loops?
  • How to control the loops
  • How to iterate through the various object
  • Sequence and iterable objects

  • Electricity , Electric Current, Electric Potential
  • Ohm’s law
  • DC Power supply, Voltage Transfer
  • Signals : Analog and Digital sensors
  • Sensors : Analog and Digital sensors
  • Analog to Digital Conversion: Introduction, On chip ADC’s, Calculation and conversion as per bit size of ADC.
  • Serial Communication
  • UART Protocol.

  • Process text files using Python
  • Read/write and Append file object
  • File object functions
  • File pointer and seek the pointer
  • Truncate the file content and append data
  • File test operations using os.path

  • Python inbuilt Modules
  • os, sys, datetime, time, random, zip modules
  • Create Python UDM – User Defined Modules
  • Define PYTHONPATH
  • Create Python Packages
  • init File for package initialization

  • Python Exceptions Handling
  • What is Exception?
  • Handling various exceptions using try....except...else
  • Try-finally clause
  • Argument of an Exception and create self-exception class
  • Python Standard Exceptions
  • Raising an exceptions, User-Defined Exceptions
  • Object oriented features
  • Understand real world examples on OOP
  • Implement Object oriented with Python
  • Creating Classes and Objects, Destroying Objects
  • Accessing attributes, Built-In Class Attributes
  • Inheritance and Polymorphism
  • Overriding Methods, Data Hiding
  • Overloading Operators

  • Debug Python programs using pdb debugger
  • Pycharm Debugger
  • Assert statement for debugging
  • Testing with Python using UnitTest Framework
  • What are regular expressions?
  • The match and search Function
  • Compile and matching
  • Matching vs searching
  • Search and Replace feature using RE
  • Extended Regular Expressions
  • Wildcard characters and work with them

  • Creating a Database with SQLite 3,
  • CRUD Operations,
  • Creating a Database Object.
  • Python MySQL Database Access
  • DML and DDL Operations with Databases
  • Performing Transactions
  • Handling Database Errors
  • Disconnecting Database

  • Install package using Pycharm
  • What is pip, easy_install
  • Set up the environment to install packages?
  • Install packages for XLS interface and XLS parsing with Python
  • Create XLS reports with Python
  • Introduction to web scraping
  • Data Science / Machine Learning

  • Structured Query Language

  • Matplotlib, Seaborn, Plotly, Cufflinks and Pandas in-built (Python Packages/Modules)

  • Numpy, Pandas

  • Supervised Learning Regression
  • Linear Regression
  • Multiple Linear Regression
  • Bias-Variance Trade-Off

  • Logistic Regression
  • K-Nearest Neighbors (KNN)
  • Simple Vector Machine (SVM)
  • Decision Trees o Ensemble Methods - Random Forest
  • Bagging
  • Boosting
  • AdaBoost
  • XGBoost

  • K-Means Clustering
  • Hierarchical Clustering
  • DBSCAN

  • Linear Discriminant Analysis
  • Principal Component Analysis (PCA)
  • Reinforcement Learning

  • NLTK o NLP with NLTK
  • NLTK Extensions and Explorations
  • Sentiment Analyzer
  • Description of Sentiment Analyzer
  • Pre-processing: Tokenization
  • Pre-processing: Tokens to Vectors
  • Sentiment Analysis using Decision Tree
  • Sentiment Lexicons
  • Problems
  • Hackerrank (Python and Machine Learning)
  • Hackerearth (Python and Machine Learning)
  • GeeksForGeeks (Python)
  • Kaggle (Machine Learning)
  • Python Every Day Objective Test and Each Day Problem Statement as an assignment.

More Details for Machine Learning Course

A subset of artificial intelligence (AI), machine learning (ML) is the area of computational science that focuses on analyzing and interpreting patterns and structures in data to enable learning, reasoning, and decision making outside of human interaction. Simply put, machine learning allows the user to feed a computer algorithm an immense amount of data and have the computer analyze and make data-driven recommendations and decisions based on only the input data. If any corrections are identified, the algorithm can incorporate that information to improve its future decision making.

No prerequisites required to learn ML (This course is very useful for students).

  • Robotics Engineer
  • Data Scientist
  • Business Analysts
  • Hadoop Developers
  • Python for Data Science
  • College Graduates

DINS Infotech offers Machine Learning course, on Regular and Weekend basis.
Online or Classroom training available.
For more details contact on +91-992-375-5189

  • Small batch size
  • Expert faculty
  • Job Assistance for modular course
  • Job Guaranteed for Career courses
  • Practical oriented training
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DINS InfoTech,1st Floor,Dhage Plaza, Near Dange Chowk, Aundh - Ravet BRTS Rd, in front of Gavane hospital, Laxman Nagar, Thergaon, Pune, Maharashtra 411033
  • 1st Floor, Dhage Plaza,
  • Opp. Gavene Hospital,
  • Aundh-Ravet Road,
  • Laxman Nagar, Near Dange Chowk,
  • Thergaon, Pune-411033

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