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Machine Learning

Machine Learning Training

Pivotalsoft is the NO.1 Machine Learning training institute offering the best Machine Learning training in Visakhapatnam, expert guidance and 100% placement assistance.

Are you seeking a job for Machine Learning? Are you an IT professional longing for a career change in Machine Learning? Are you a Application Developer looking to acquire the best support in Machine Learning project? Are you a team looking for the best Machine Learning classroom training, online training and real-time hands-on training on Machine Learning? Are you looking for a fast track Machine Learning course? Are you willing to do one on one Machine Learning training in Visakhapatnam? Are you keen to undergo live online training on Machine Learning? Are you a college student interested to learn Machine Learning? Do you need Machine Learning project support in your job?

If any of these above questions is hitting your mind, Don't worry...We are here to help you with Machine Learning course. From the day 1 until the course completion, Pivotalsoft and our well qualified Application Developers, tutors will provide you the unique, supportive and convenient learning environment. So, you can make use of this golden opportunity to learn a technology from the scratch until you become pro in Machine Learning programming.

About Machine Learning Course:

With ranked as No.1 Machine Learning Training Institute in Visakhapatnam, we have a team of highly qualified instructors with 10+ IT professional experience, mentoring the candidates for the Machine Learning Course. This course is for students and developers who have thorough knowledge and experience on the fundamentals of Machine Learning Programming. This course covers the specialized topics in Machine Learning like Interpreter, Operators, Basic Statements, Functions,Exception, GUI Programming and many more advanced topics.
Each session will be backed by solid theoretical explanations followed by relevant sample projects (practical) and assignments to ensure the trainee has complete knowledge on the topic. In addition to the practical application development sessions, the training also includes deployment of the application developed by the team of trainees according to the requirements into real-time servers.

Today we live in DATA world. To create a small web application in cell phone to a large enterprise application that run on internet, we use Machine Learning programming language. Machine Learning programming is simple, object-oriented, robust , secure, architecture-neutral and portable, high performance, interpreted, threaded and dynamic.
Freshers (BE, BTech, BSc, BCA, MSc, MCA & any other graduates*) who want to make career as a Software developer, Engineer, Web Application Developers.can also take up this course.
In Today's world everyone wants to their business to be automated and distribute over internet. World is becoming more smart and internet reached even remote areas. Most of the companies looks for Machine Learning because of its secure, distribute, simple, maps easily to real time objects. 90% company’s choice is Machine Learning for their business. So join Machine Learning training in Visakhapatnam at Pivotalsoft for your career growth.

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LIVE DEMO

MACHINE LEARNING TRAINING COURSE CONTENT:

SECTION 1: INTRODUCTION TO ML

  • What is ML?
  • Why ML?
  • Opportunities in ML
  • What is ML models?
  • Why R and Python is popular?

SECTION 2: ML MODEL OVERVIEW

  • Introduction to ML Model.
  • Data Handling
  • Data Pre-processing
  • Types of ML Model.
  • Supervised and Unsupervised.
  • How to test your Data?
  • Cross validation techniques

SECTION 3: LINEAR REGRESSION

  • What is Linear Regression?
  • Gradient Descent overview.
  • Gradient Descent Calculations.
  • R and Python Overview.
  • How to improve your model?

SECTION 4: OVERFITTING

  • Overfitting Overview
  • How to use Linear Regression for Overfitting?
  • How to avoid Overfitting?
  • Bias-Variance Tradeoff.
  • Regularization – Ridge, LASSO
  • ANOVA, F tests overview.
  • What is Logistic Regression?
  • Classification with Logistic Regression.
  • Maximum Likelihood Estimation.
  • Build an end to end model with Logistic Regression using scikit Learn.
  • How to build a model in the Industry?

SECTION 5: DECISION TREES

  • Why Decision Tree?
  • Entropy, Gini Impurity overview
  • Implement Overfitting.
  • How to improve the Decision Tree model without Overfitting?
  • Bagging, Boosting
  • Random Forest
  • AdaBoost, Gradient Boost

SECTION 6: K-NN

  • Distance based model with kNN.
  • Value of k – overview.

SECTION 7: SUPPORT VECTOR MACHINES(SVM)

  • Power of SVM overview.
  • Why SVM?
  • What is Kernel Functions?
  • What are the Kernel Functions available?
  • How to Build an OCR(Optical Character Reader) with the help of SVM and Kernel functions?
  • Neural Networks overview.
  • Why Neural Networks?
  • What is Neural Network Architecture?
  • How to build AND, OR, NOT, XOR, XNOR Logic Gates with Neural Network?
  • What is Forward & Backward Propagation?
  • List of Activation Functions.
  • Vanishing Gradient problem

SECTION 8: DEEP NEURAL NETWORKS

  • Optimization methods overview.
  • Gradient Descent with Momentum, RMSProp, ADAM.
  • Learning Rate Decay.
  • Xavier Initialization.
  • Introduction to Keras and Tensorflow(TF)
  • Deep Learning in Keras with TensorFlow as the backend.

SECTION 9: UNSUPERVISED LEARNING

  • Clustering overview.
  • k-means Clustering.
  • Hierarchical clustering.

SECTION 10: PCA

  • Principal Component Analysis(PCA).
  • Maths behind PCA.
  • Engine Recommendation.
  • Content and Collaborative Filtering.
  • Market Basket Analysis
  • What is Apriori Rule?

SECTION 11: COMPUTER VISION

  • Image Detection, Image Classification, Localization.
  • Convolutional Neural Networks(CNN) overview.
  • Strides, Padding methods
  • Convolutional, Padding and Fully Connected layers
  • Sliding Window
  • Edge Detection

SECTION 12: ADVANCED COMPUTER VISION

  • YOLO ALgorithm – You Only Look Once
  • Introduction to classical networks like LeNet5
  • IoU
  • Introduction to Natural Language Processing(NLP)
  • Text Preprocessing
  • Lemmatization, Stemming
  • Syntactical Parsing, Entity Parsing
  • Develop a chatbot with the above concepts of NLP and Neural Networks

ABOUT THE TRAINER:

 Best Android trainers

For the training of the Machine learning we have one of the best tutor who has an experience for 12 years.He has been in this teaching profession for one decade and is an expert in Data Analytics and Data-Science. He has undertaken a lot of projects and worked upon those projects. All the projects he has undertaken has been delivered successfully with good feedbacks.

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