MACHINE LEARNING WITH PYTHON

Techvolt Software Pvt. Ltd. offers Internship Training on Machine Learning using Python for Engineering students to enhance their skills as per the Industry standards.

Techvolt Software offers students internship in Coimbatore in the field of Full Stack development, Web Development, Data Science, Machine Learning, Embedded Systems, Internet of Things, Cyber Security, Human Resource and Digital Marketing. Student’s internships are available in offline and online mode. Techvolt software offers internship in Coimbatore for CSE Students, IT Students, ECE Students, EEE Students, AI Students, ML Students, MCA Students and Msc Students along with Hands on projects.

Our main objective is to provide intense knowledge on Machine Learning Algorithms and required programming knowledge so that an individual is made capable to develop any real-time Analytical project by themselves.

Skills Required : C, C++ with Good Communication

Machine Learning

Machine Learning is a subset of Artificial Intelligence which makes a machine learn without being explicitly programmed. Data is the key for Machine Learning, without a data machine will not be able to get trained in order to predict future. Today Machine Learning is so prominent because of three main factors - Availability of Data, Computational Power and Development in Statistical Methods

Machine Learning Python
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Why Techvolt

  • Live - Technical Training (T & C Apply*)- ( 60-100 hrs )
  • Learn from an Expert
  • ISO 9001:2015 Certified
  • Hands on Real-time Projects | Live Projects
  • Technical & Internship Certificates
  • Stipend - 2nd Project
  • Pre-Placement Offer

Why Machine Learning

  • Easy Identification of Trends & Patterns
  • Multi-dimensional & Multi-variety Data
  • Wide Applications
  • Required for AI
  • A Highly Paid Career

Syllabus

Unit-1 : Basics of Python Programming
  • Basic Programs
  • Lists
  • Tuples
  • Dictionaries
  • Sets
  • Lambda Functions
Unit-2 : Python Packages - Numpy & Pandas
  • Series
  • DataFrames
Unit-3 : Machine Learning
What is Data
  • General Definitions
  • Types of Data
  • Data Collection Process
  • Data Classification
Machine Learning - Introduction
  • What is Machine Learning
  • Why use Machine Learning
  • Types of Machine Learning
  • Main Challenges of Machine Learning
Regression Algorithms
  • Linear Regression
  • Lasso Regression
  • Ridge Regression
  • Logistics Regression
Unit-4 : Classification
  • K-Nearest Neighbors
  • Performance Metrics
  • Logistics Regression
  • Naïve Bayes Algorithm
  • Support Vector Machines
  • Decision Trees
  • Ensemble Techniques
Unit-5 : End-to-End Machine Learning project
  • Machine Learning project
Unit-6 : Natural Language Processing
  • Text Cleaning
  • Bag of Words
  • TFIDF Vectorizer

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