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best machine learning online course

Machine Learning Online Training

Learn Machine Learning Online Course from Realtime Industry Experts Team. takes you deep dive in ML Course from  Basics to Advanced level. Kickstart your Journey today in Machine Learning Course using Advance Python. 

Our Machine Learning Online Course Highlights..!

  • Expert Level Training
  • Adv.Python with Machine Learning Course & Industry Level ML Examples and Machine Learning
  • Complex Topics & Realtime Machine Learning Algorithms in Python
  • Learn to create Machine Learning Algorithms using Python from our Industry Experts
  • Real Time Techniques in AI, Hadoop(BigData), Pure Python Implementations

Machine Learning? Best Machine Learning Online Training Course?

Machine Learning is considered as the field of computer science that gives computer the ability to learn without being programmed in an explicit way. 

It is also an application of artificial intelligence allowing software applications to become more accurate in predicting outcomes & also focuses on the development of computer program for accessing data & used it for any purpose.

Why Machine Learning Course is the best career move?

Machine Learning enables the analysis of massive quantities of data. As most of the organizations are investing on this technology, the certified Machine Learning expertise can easily get job in top notch companies with highest paid salary range. This technology also helps to deliver the most accurate results & smart decision in real time without human intervention. Machine Learning Training in Hyderabad at IT Hub Training Institute helps to acquire knowledge skills in every corner of the subject to boost organizational revenues.

Machine Learning Online Training in Hyderabad , India at IT Hub Training Institute

IT Hub Training Institute delivers the Best Machine Learning Online Training Course to all the intended audience who wants to become Expertise in trending technology. 

It trains to reproduce known patterns and knowledge, automatically apply that to other data & then automatically apply those results to decision making and actions. Upon completion of Machine Learning Training in Hyderabad, aspirants will get command over each and every concept to face real world challenges. Course completion certification is delivered to the aspirants at the end of Machine Learning Course in Hyderabad to get job in the top notch companies with highest paid salary range.

Introduction to Machine Learning

  • What is Machine Learning?
  • Why Machine Learning?
  • Introduction to Big Data and Machine Learning
  • Common use cases of ML (spam, house price, stock price, image recognition)
  • Different machine learning techniques
Introduction to Artificial Intelligence and Machine Learning
  • Artificial Intelligence
  • Machine Learning
  • Machine learning algorithms
  • Applications of Machine Learning

Introduction to Big Data?

  • What is Big data?
  • Big Data opportunities and Challenges
  • Characteristics of Big data

Hadoop in Machine Learning

  • What is Hadoop?
  • Features of Hadoop.
  • How Hadoop Works?
  • What is Hadoop EcoSystem?

What is HDFS (Machine Learning)?

  • HDFS Daemons:NameNode and DataNode Explained.
  • HDFS Daemons: Secondary NameNode Explained.
  • How HDFS Manages FileSystem MetaData?
  • Reading Data from HDFS.
  • Writing Data to HDFS.

Adv. Python3, (Python2 In Speed)Fundamentals

  • Development environment setup
  • Functions & arguments, Modules & packages
  • Lists, Tuples, Strings, Sets, Dictionary
  • File operations, File Directory, Exceptions

Math Refresher

  • Concepts of linear algebra
  • Eigenvalues, eigenvectors
  • Introduction to Calculus
  • Probability and statistics
  • Bayes Theorem
  • Geometry overview

What’s Statistics Using Python in Machine Learning

  • Descriptive Statistics
  • Central Tendency Measures
  • The Story of Average
  • Dispersion Measures
  • Data Distributions
  • What is Sampling
  • Why Sampling
  • Sampling Methods
  • What is Hypothesis testing
  • Correlation vs. Regression
  • Uses of Correlation & Regression

Advanced Python Ecosystem for Machine Learning

  • SciPy
  • NumPy
  • Matplotlib
  • Pandas
  • Scikit-learn

Data Pre-processing

  • Data preparation
  • Datasets
  • Data Import and Data Imputation
  • Data Indexing and Re-indexing
  • Data Slicing
  • Feature engineering
  • Feature scaling
  • Dimensionality reduction

Types of Machine Learning:

  • Supervised Learning
  • Unsupervised Learning
  • Semi-Supervised Learning
  • Reinforcement Learning

Supervised Learning in ML(Machine Learning)

  • What is supervised learning?
  • Types of Supervised Learning techniques:
  • 1. Regression
  • 2. Classification


Linear and Multi-Linear Regression
  • What is Linear Regression?
  • How Linear Regression works?
  • Prediction Error
  • Cost Function
  • Best Fit Line
  • Predicting House price using Linear Regression
  • Advantages and disadvantages
What is polynomial regression?
  • How it works and case study?
  • Hands on exercise with real time dataset
  • Advantages and disadvantages
Logistic Regression
  • What is logistic regression?
  • Sigmoid function(Logistic function)
  • Why it is called classification algorithm
  • Hands on exercises with practical dataset
  • Advantages and disadvantages

K-Nearest Neighbor (kNN) classifier:

  • What is KNN?
  • How it works
  • What is Euclidean distance?
  • How to choose value of K
  • Real time example
  • Hands on code with real dataset
  • Advantages and disadvantages

Naive Bayes classifier:

  • What is Naïve Bayes?
  • Why it is called ‘Naïve’ Bayes
  • How Naïve Bayes classification works?
  • Hands on exercises
  • Advantages and disadvantages

Decision Trees:

  • What are decision trees?
  • How actually Decision trees help in machine learning
  • How it works?
  • What is Gini index?
  • What is information gain and entropy
  • What is pruning , why pruning in decision trees
  • Hands on Practice with suited real time problems
  • Advantages and Disadvantages

Ensemble Learning in ML:

  • What is Ensemble Learning?
  • What is Bagging and Boosting?

Random Forest Classifier:

  • Why it is called Random forest?
  • How it works?
  • Why Random forest is preferred over normal classification techniques.
  • Random forest algorithm.
  • Advantages and disadvantages of Random Forest classifier in Machine Learning
  • Random forest code to breast cancer dataset.

Support Vector Machines:

  • What is SVM?
  • Why it is more popular?What is Multi classification?
  • What are Kernel Techniques in SVM
  • Advantages and Disadvantages
  • SVM with IRIS dataset
Un-Supervised learning:
  • What is unsupervised learning?
  • Different unsupervised algorithms

K-Means Clustering:

  • What is K Means clustering?
  • How K means works?
  • How to choose value k
  • Real time Applications
  • Hands on code for K-means clustering
  • Advantages and Disadvantages

  Hierarchical clustering:

  • Types of hierarchical clustering
  • Divisive  (top  down) clustering
  • Agglomerative  (bottom up) clustering
  • How ‘bottom up’ works with dendrogram?
  • Code for clustering dataset using Agglomerative Clustering
  • Advantages and Disadvantages  

Introduction to Natural Language Processing

  • Text Pre-processing 
  • Noise Removal
  • Lexicon Normalization
  • Lemmatization
  • Stemming
  • Object Standardization

Text to Features (Feature Engineering on text data) 

  • Syntactical Parsing 
  • Dependency Grammar
  • Part of Speech Tagging
  • Entity Parsing
  • Phrase Detection

Named Entity Recognition

  • Topic Modeling
  • N-Grams
  • Statistical features
  • TF – IDF
  • Frequency / Density Features
  • Readability Features
  • Word Embedding’s

Important tasks of NLP 

  • Text Classification
  • Text Matching
  • Levenshtein Distance
  • Phonetic Matching
  • Flexible String Matching

Important NLP libraries

Introduction to Deep Learning:

  •  Machine Learning Limitations
  • What is Deep Learning?
  • Introduction to deep learning
  • What is a neural network?
  • DL-Common terminologies
  • Deep Learning libraries in python
More Examples & Real Time Python Techniques in Advanced Ml(Machine Learning) are covered in the live classes!
  1. What Makes ittraininghub Advance Machine Learning Online Course better  than other Machine Learning online courses? provides live Face2Face Advanceed Machine Learning online classes which you can learn as you are in classroom, machine learning online classes are taken by Real Time ML & DataScientist Experts having 15+ Years.

  1. All Machine Learning Online Classes are Live are Recorded Classes?
No, All Machine Learning(ML) Online Sessions are Live, No Recordede Videos.
  1.  Will you provide Advanced Machine Learning realtime examples & guidance?

Yes, 100% machine learning, latest algorithms & Realtime Examples are Covered!


Srikanth from Bengaluru

Adv.Machine Learning Online Classes from great for beginners & experienced. a bit confused when watching many online tutorials in youtube. When coming to this live classes version picked me up from scratch, the online course content syllabus is pretty good & which is for me.

What will you acquire in this ML Online course?

Upon completion Machine Learning Online Course Certification Training Program(India or Anywhere ), aspirants will acquire knowledge in each and every corner of the subject to face real world challenges with ease.

  1. Acquires knowledge in building of more accurate pricing models
  2. Enhances skills in detect network intrusions
  3. Leverages skills in generating real-time targeted advertising on websites
  4. Reach record sales via recommendation engine deployment
  5. Acquires knowledge in demand forecasts in retail
  6. Detect and prevent fraud in real-time
  7. Produce descriptive statistics, carry out exploratory data analysis and clean, reformat & aggregate data.
  8. Enhances skills in deploy various algorithms and then compare and evaluate the results of each
  9. Leverages knowledge in work to get the model into production.
  10. Real Time Industry based projects

Who can opt this Machine Learning Online Course?

Anyone who are interested & want to make career in Machine Learning technology can opt the course at Institute.

  • Professionals
  • Site Administrators
  • Software Programmers
  • Students/Freshers
  • Anyone who wanted to progress in the most trending technology
What ate the pre-requisites of this Machine Learning Course?
Candidates who are having skills in any of the programming language (MostAdvantages for C, C++ or Python)will be added an career advantage by taking up this Machine Learning Online Training at IT Hub Training Institute.

Machine Learning Job roles & responsibilities

After completion of Machine Learning Certification Program in Hyderabad, aspirants can get the job opportunities as per below mentioned.

  • Machine Learning Professional
  • Senior Machine Learning Engineer
  • Machine Learning Engineer
  • Software Engineer
  • Machine Learning Engineer
  • Machine Learning Research Scientist & 10+ Major Categories, 100+ Minor Categeroies in different technologies..!

Without any second thought prefer Machine Learning Online Training Course at IT Hub Training Hub Institute to grab job in MNCs with High Pay Scale..!

100% worthy what you pay to us!