Machine Learning Course in Coimbatore
So are you ready to enter the machine learning world? Xplore IT Corp is your one-stop shop for all your machine learning course in Coimbatore, even if you are just a beginner or a veteran. Before going into advanced topics, the course covers all important basic prerequisites that guarantee the best learning experience. Whether you want to take your first step into the career of data science or want to supplement your existing skills, this course combines the best theory and practical training with real-life applications. The best part is that you can get hands-on training with expert guidance, a blend really required for entry-level machine learning aspirants, and it is the best machine learning course for beginners. New learners will find this course particularly beneficial in establishing an edge for themselves while preparing for a year’s successful career in technology. The biometric machine learning course offered by Xplore IT Corp has all the relevant industry-related content, top-notch trainers and modern learning aids found today. This provides you with the best gateway to a very successful future in artificial intelligence and data science. Here is the best machine learning course to take for complete amateurs as well as the very knowledgeable.
Key Features
Highlights of Xplore IT Corp Machine Learning Course
Detailed Syllabus
The machine learning training course in Coimbatore will present all related concepts of ML which have associations with both supervised and unsupervised learning, neural networks and pre-processing of data.
Hands-on Training
Our best machine learning course for beginners will include real-time projects, coding assignments as well as case studies supporting hands-on training.
Flexible Learning Options
Anyone can be an employee or an individual learning our course of machine learning in Coimbatore using online or offline mode.
Trained by experts
Trained Experts are the one who divided the most complicated topics of ML into easy lessons to understand.
Certificate
It helps Students get international-level certificates and there are possibilities to get recruited as well.
Placement Support
We assure 100% placement support in putting the student's career in ML in the best companies.
Machine Learning Course Objective
Making familiarize yourself with basic machine learning and also Understanding supervised and unsupervised learning.
Understanding Machine Learning Concepts
Learn how the machine learning models are to be prepared for practical application in real life.
Implementation of Machine Learning ModelsModels
Follow the entire process of making machine learning models in Python.
Building Machine Learning Models
Learn to clean and prepare data for a machine learning application.
Data Preprocessing & Feature Engineering
Making machine learning to enhance learning by working on practical projects.
Practical implement projects
Getting introduced to neural networks and deep learning for AI-based solutions.
Deep Learning
Benefits of Machine Learning Course Certification
- The horizon of a career in ML is usually vast at levels in machine learning for certified professionals.
- Industries accept the certifications issued from our Coimbatore machine learning course.
- Better job opportunities and career development opportunities are available for the certified individuals.
- Prove your knowledge by experience in the domain of machine learning and find the jobs for you.
- Have a higher rank in the market with an ML certification from the world-class industry.
- The salary of ML engineers is more as compared to the rest of the people.
Benefits of Learning Machine Learning Course at Xplore IT Corp
Industry Relevant Curriculum
Our machine learning course in Coimbatore is designed by taking into account the current trends and technologies dominating in the industries.
Beginner-Friendly Approach
The ultimate machine learning course in coimbatore targeted towards initiating the learners into the easy ones and then advancing onto the difficult ones.
Job opportunities
Very as the sector always needs demand for machine learning experts so there are wide chances in job opportunities.
Personalized Mentorship
Get One to One Coaching by trainers that help clarify out all the confusions and understand more into the subject.
Practical exposure
Gain hands-on experience through real-world projects and datasets of the models of machine learning.
Affordable Learning
Our courses are designed to be budget-friendly without compromising on quality.
Syllabus of Python Course
C & C++ Programming
⦁ History
⦁ Features
⦁ Setting up path
⦁ Working with Python scripts
⦁ Basic Syntax
⦁ Variables and Data Types in scripting
⦁ Operators
⦁ If , If- else, Nested if-else statements
⦁ For, While loops
⦁ Nested loops
⦁ Control Statements
⦁ Accessing Strings
⦁ Basic Operations
⦁ String slices
⦁ Function and Methods
⦁ Accessing list
⦁ Operations
⦁ Working with lists
⦁ Function and Methods
⦁ Accessing tuples
⦁ Operations
⦁ Working
⦁ Functions and Methods
⦁ Accessing values in dictionaries
⦁ Working with dictionaries
⦁ Properties
⦁ Functions
⦁ Defining a function
⦁ Calling a function
⦁ Types of functions
⦁ Function Arguments
⦁ Anonymous functions
⦁ Global and local variables
⦁ Importing module
⦁ Math module
⦁ Random module
⦁ Packages
⦁ Composition
⦁ Printing on screen
⦁ Reading data from keyboard
⦁ Opening and closing file
⦁ Reading and writing files
⦁ Functions
⦁ Exception
⦁ Exception Handling
⦁ Except clause
⦁ Try ? finally clause
⦁ User Defined Exceptions
⦁ Class and object
⦁ Attributes
⦁ Inheritance
⦁ Overloading
⦁ Overriding
⦁ Data hiding
⦁ Match function
⦁ Search function
⦁ Matching VS Searching
⦁ Modifiers
⦁ Patterns
⦁ Architecture
⦁ CGI environment variable
⦁ GET and POST methods
⦁ Cookies
⦁ File upload
⦁ Connections
⦁ Executing queries
⦁ Transactions
⦁ Handling error
⦁ Socket
⦁ Socket Module
⦁ Methods
⦁ Client and server
⦁ Internet modules
⦁ Thread
⦁ Starting a thread
⦁ Threading module
⦁ Synchronizing threads
⦁ Multithreaded Priority Queue
⦁ Tkinter Programming
⦁ Tkinter widgets
⦁ Mail Communication in python scripts
Python Web App Development With Django
⦁ What is Django?
⦁ DRY programming: Don’t Repeat Yourself
⦁ How to get and install Django
⦁ models.py
⦁ urls.py
⦁ views.py
⦁ Setting up database connections
⦁ Managing Users & the Django admin tool
⦁ Django URL Patterns and Views
⦁ Designing a good URL scheme
⦁ Generic Views
⦁ Django Forms
⦁ Form classes
⦁ Validation & Authentication
⦁ Advanced Forms processing techniques
⦁ Unit Testing with Django
⦁ Using Python’s unittest2 library
⦁ Test
⦁ Test Databases
⦁ Scrapy – Overview
⦁ Scrapy – Environment
⦁ Scrapy – Spiders
⦁ Scrapy – Item Pipelines
⦁ Scrapy – Link Extractors
⦁ Scrapy – various output consoles
⦁ Define item
⦁ First spider project
⦁ Crawling Content
⦁ Extracting item
⦁ Scraped data
⦁ What is Flask?
⦁ Flask – Overview
⦁ Flask – Environment
⦁ Flask – Application
⦁ Flask – Routing
⦁ Flask – Variable Rules
⦁ Flask – URL Building
⦁ Flask – SQLite
⦁ Flask – SQLAlchemy
⦁ The core: Image – load, convert, and save
⦁ Smoothing Filters A – Average, Gaussian
⦁ Smoothing Filters B – Median, Bilateral
⦁ OpenCV 3 with Python
⦁ Image – OpenCV BGR: MatplotLIB
⦁ Basic image operations – pixel access
⦁ iPython – Signal Processing with NumPy
⦁ Signal Processing with NumPy I – FFT and DFT for sine, square waves, unitpulse, and random signal
⦁ Signal Processing with NumPy II – Image Fourier Transform: FFT & DFT
⦁ Inverse Fourier Transform of an Image with low pass filter: cv2.idft()
⦁ Image Histogram
⦁ Video Capture and Switching colour spaces – RGB / HSV
⦁ Adaptive Thresholding – Otsu’s clustering-based image thresholding
⦁ Edge Detection – Sobel and Laplacian Kernels
⦁ Canny Edge Detection
⦁ Hough Transform – Circles
⦁ Watershed Algorithm: Marker-based Segmentation I
⦁ Watershed Algorithm: Marker-based Segmentation II
⦁ Image noise reduction: Non-local Means denoising algorithm
⦁ Image object detection: Face detection using Haar Cascade Classifiers
⦁ Image segmentation – Foreground extraction Grabcut algorithm based on graph cuts
⦁ Image Reconstruction – Inpainting (Interpolation) – Fast Marching Methods
⦁ Video: Mean shift object tracking
⦁ Installation
⦁ Features and feature extraction – iris dataset
⦁ Machine Learning Quick Preview
⦁ Data Preprocessing I – Missing / Categorical data
⦁ Data Preprocessing II – Partitioning a dataset / Feature Scaling / Feature Selection / Regularization
⦁ Data Preprocessing III – Dimensionality Reduction vs Sequential Feature Selection / Assessing Feature importance via random forests
⦁ Data Compression via Dimensionality Reduction I – Principal component analysis (PCA)
⦁ Data Compression via Dimensionality Reduction II – Linear Discriminant Analysis (LDA)
⦁ Data Compression via Dimensionality Reduction III – Nonlinear mappings via kernel principal component (KPCA) analysis
⦁ Logistic Regression, Overfitting & regularization
⦁ Supervised Learning & Unsupervised Learning – e.g. Unsupervised PCA dimensionality reduction with iris dataset
⦁ Unsupervised Learning – KMeans clustering with iris dataset
⦁ Linearly Separable Data – Linear Model & (Gaussian) radial basis function kernel (RBF kernel)
⦁ Decision Tree Learning I – Entropy, Gini, and Information Gain
⦁ Decision Tree Learning II – Constructing the Decision Tree
⦁ Random Decision Forests Classification
⦁ Support Vector Machines (SVM)
Machine Learning Using Flask
⦁ Serializing with pickle & DB setup
⦁ Basic Flask App
⦁ Embedding Classifier
⦁ Deploy
⦁ Updating the Classifier
Xplore IT Corp offers the best machine learning course for beginners through trainers who are industry experts, having rich practical experience. Our trainers are not only experienced but also passionate about guiding students through real-life applications of the machine learning concepts. They focus on providing every student with complete knowledge of machine learning algorithms, tools and techniques through live projects. This best machine learning course for beginners aims to equip students with the solid ground they need to kickstart their careers in this compelling field. Join us with the mantra that builds training and mentoring into unique excellence in the tech domain with Xplore IT Corp.
Top-Rated ML Training
Here you would learn with the best ML training to enhance the learning from scratch-organized effectively.
Live Projects
To give an interesting tinge to your application.
Machine Learning Tools
Understanding how a model of an AI can be generated using python TensorFlow , Scikit-learn.
Certification and Internship
Get certified and gain internship opportunities for hands-on experience.
Placement & Resume Support
Resume building, preparations and all interviews for placing.
Placement after Completing Machine Learning Course
Placement Assistance
We provide our students with AI as well as ML-related job opportunities.
Resume Building
We assist the students in formulating an excellent resume for their ML job application.
Mock Interviews
To prove the confidence in actual job interviews. We conduct mock interviews
Internship Opportunities
Gain experience through internships in AI and ML projects. Tie-ups of Corporate Training Key companies, which recruit the ML professionals have the tie-up.
Job Portal Access
Students receive access to job listings and placement drives with 100% of our placement support team.
Career Mentorship
Our experts provide personalized career guidance and mentorship to help students navigate the job market and land their dream roles in Machine Learning.
Job prospects after graduating from the course
Data Scientist: Analyze complex data to extract valuable insights and drive business decisions.
Machine Learning Engineer: Develop algorithms and models to automate tasks and improve systems.
AI Researcher: Conduct research to advance artificial intelligence technologies and innovations.
Business Intelligence Analyst: Use data to help companies make informed business strategies.
Deep Learning Specialist: Focus on advanced neural networks and model building for AI solutions.
Data Analyst: Help companies find insights in their data by looking for trends or patterns.
We offer a placement course in Machine Learning, ensuring you have a clear path to employment and continuous support and guidance from our dedicated placement team.
Our In Demand Courses
Frequently Asked Questions
In reality, the training can go up to 3-6 months, according to the study mode taken by you, for a machine learning course in Coimbatore.
Absolutely not. While basic know-how in programming always comes in handy, we dive into the course from the basics, especially in the case of freshers.
ML Engineer, Data Scientist, AI Developer and numerous others.
Big yes indeed. Students garner an industry-leader ML Certification.
Yes, 100% job placement support.
Python, TensorFlow, Scikit-Learn and many more.
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