Machine Learning  Training in Bangalore

ML(Machine Learning) Course in Bangalore Providing the Quality Training and recognized as the Certified Training Center for ML(Machine Learning) . The Best ML(Machine Learning) Training institute in Bangalore with all the Certified Working Professionals as Trainers.Real-time ML(Machine Learning) Training providers in Bangalore. Build Your Career in ML(Machine Learning) .

ML(Machine Learning) Course Details

Best ML(Machine Learning) Course training provider in Bangalore.ML(Machine Learning) training with all the real-time Trending concepts like Datascience ,Machine Learing,Deep Learning, Python, BigData .ML(Machine Learning) all Training with Practical Concepts. ML(Machine Learning) Training Institute Provides the best quality AI training from the High experienced Certified Working Professinals Offering the Great Knowledge to every Candidate.learn ai from the Best Training Institute in Bangalore BTM & Marathahalli

ML(Machine Learning) Course Fee with Affordable Prices Offering ML(Machine Learning) Course materials and ML(Machine Learning) Training with Interview Questions and Trainer will assist the candidates  for all the Interviews.ML(Machine Learning) Interview Questions will be Prepared from the Top Most MNC’s.

What is ML(Machine Learning) ?

Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves

Machine Learning (ML) Course Content

Machine Learning (ML) Course Content

Machine Learning using Python

Introduction

  • ML Fundamentals
  • ML Common Use Cases
  • Understanding Supervised and Unsupervised Learning Techniques

 Clustering

  • Similarity Metrics
  • Distance Measure Types: Euclidean, Cosine Measures
  • Creating predictive models
  • Understanding K-Means Clustering
  • Understanding TF-IDF, Cosine Similarity and their application to Vector Space Model
  • Case study

Implementing Association rule mining

  • What is Association Rules & its use cases?
  • What is Recommendation Engine & it’s working?
  • Recommendation Use-case
  • Case study

Understanding Process flow of Supervised Learning Techniques

Decision Tree Classifier

  • How to build Decision trees
  • What is Classification and its use cases?
  • What is Decision Tree?
  • Algorithm for Decision Tree Induction
  • Creating a Decision Tree
  • Confusion Matrix
  • Case study

Random Forest Classifier

  • What is Random Forests
  • Features of Random Forest
  • Out of Box Error Estimate and Variable Importance
  • Case study

Naive Bayes Classifier.

  • Case study

Project Discussion

Problem Statement and Analysis

  • Various approaches to solve a Data Science Problem
  • Pros and Cons of different approaches and algorithms.

Linear Regression

  • Case study
  • Introduction to Predictive Modeling
  • Linear Regression Overview
  • Simple Linear Regression
  • Multiple Linear Regression

Logistic Regression

  • Case study
  • Logistic Regression Overview
  • Data Partitioning
  • Univariate Analysis
  • Bivariate Analysis
  • Multicollinearity Analysis
  • Model Building
  • Model Validation
  • Model Performance Assessment AUC & ROC curves
  • Scorecard

Support Vector Machines

  • Case Study
  • Introduction to SVMs
  • SVM History
  • Vectors Overview
  • Decision Surfaces
  • Linear SVMs
  • The Kernel Trick
  • Non-Linear SVMs
  • The Kernel SVM

Time Series Analysis

  • Describe Time Series data
  • Format your Time Series data
  • List the different components of Time Series data
  • Discuss different kind of Time Series scenarios
  • Choose the model according to the Time series scenario
  • Implement the model for forecasting
  • Explain working and implementation of ARIMA model
  • Illustrate the working and implementation of different ETS models
  • Forecast the data using the respective model
  • What is Time Series data?
  • Time Series variables
  • Different components of Time Series data
  • Visualize the data to identify Time Series Components
  • Implement ARIMA model for forecasting
  • Exponential smoothing models
  • Identifying different time series scenario based on which different Exponential Smoothing model can be applied
  • Implement respective model for forecasting
  • Visualizing and formatting Time Series data
  • Plotting decomposed Time Series data plot
  • Applying ARIMA and ETS model for Time Series forecasting
  • Forecasting for given Time period
  • Case Study

Machine learning algorithms Python

  • Various machine learning algorithms in Python
  • Apply machine learning algorithms in Python

Feature Selection and Pre-processing

  • How to select the right data
  • Which are the best features to use
  • Additional feature selection techniques
  • A feature selection case study
  • Preprocessing
  • Preprocessing Scaling Techniques
  • How to preprocess your data
  • How to scale your data
  • Feature Scaling Final Project

Which Algorithms perform best

  • Highly efficient machine learning algorithms
  • Bagging Decision Trees
  • The power of ensembles
  • Random Forest Ensemble technique
  • Boosting – Adaboost
  • Boosting ensemble stochastic gradient boosting
  • A final ensemble technique

Model selection cross validation score

  • Introduction Model Tuning
  • Parameter Tuning GridSearchCV
  • A second method to tune your algorithm
  • How to automate machine learning
  • Which ML algo should you choose
  • How to compare machine learning algorithms in practice

Text Mining& NLP

  • Sentimental Analysis
  • Case study

PySpark and MLLib

  • Introduction to Spark Core
  • Spark Architecture
  • Working with RDDs
  • Introduction to PySpark
  • Machine learning with PySpark – Mllib

 

Machine Learning (ML) Trainers in Bangalore

AWS Devops Training Institute Delivers the machine learning(ML) Training from the 10+years of IT Experienced Trainers.Machine Learning(ML) Training will be Provided by the Trainers from Top most MNC’s.

Machine Learning(ML) Trainer for Classroom Training in Bangalore

AWS Devops Training Institute provides Machine Learning(ML)  Online Training and Machine Learning(ML)  Classroom Training in Bangalore and we are also providing the Machine Learning(ML) Classroom Training in BTM, Machine Learning(ML)   Classroom training for Marathahalli.

Machine Learning(ML) Certification Training

AWS Devops Training Institute providing the best Machine Learning(ML) Certification Training from the Certified Experts. Machine Learning(ML)  Training in real-time with certification and get the Machine Learning(ML) .

Machine Learning(ML) Interview Questions

AWS Devops Training Institute provides the Machine Learning(ML)  Interview Questions , Resume Building and Machine Learning(ML)   Interview Assistance will be provided with 100% Placement Support from AWS Devops Training Institute.

Machine Learning(ML) Fresher Jobs and AWS Experienced Jobs in Bangalore

AWS Devops Training Institute provides the Machine Learning(ML)   Job Openings from the MNC’s and Start-up Companies. We will Conduct Drives for Machine Learning(ML)   Freshers Jobs at our Institute and will Arrange and interview Calls for the Trained Candidates.

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