Advanced Machine Learning

Tools Covered

  • R
  • Python
  • Jupyter
  • Spark
  • H2O
  • AzureML

Pre-requisites

  • Understanding of data science
  • Passion for new technologies

What you will learn

  • Machine Learning Tools In demand by MNCs
  • Machine Learning Methods with real world case studies

Course Curriculum

No curriculum found !

Curriculum

Unit 1 : Machine Learning Model Building

  • Machine Learning Foundation
  • Hypothesis Testing & P values
  • Statistical Tests in R
  • Sampling Methods & CI
  • Feature Engineering Methods
  • Dimensionality Reduction
  • Overfitting & Under-fitting
  • Bias & Variance Tradeoff
  • Dataset Sampling & Partitions
  • Computational Limitations
  • Model Building Steps in R
  • Model Building Steps in Python

Unit 2: Predictive Analytics

  • Data Exploration Case Study
  • Linear Regression
  • Linear Model Fits & Evaluation Metrics
  • Non Linear Regression
  • L1 & L2 Regularization
  • Classification Methods Overview
  • Accuracy,Confusion Matrix & ROC curve
  • Logistic Regression
  • Logistic Model Fits & Evaluation Metrics
  • Decision Trees & Rule Learners
  • Trees Model Fits & Evaluation Metrics
  • Naïve Bayes Classifier Model
  • KNN Classifier Model
  • Model Selection Parameters
  • Case Study 1 : Classification
  • Case Study 2 : Trees
  • Case Study 3 : Regression

Unit 3: ML Advanced : Black Box & Ensemble

  • Support Vector Mahcines
  • Neural Networks
  • ML Ensemble Methods
  • Bagging & Random Forest
  • Gradient Boosting Methods (GBM)
  • Case Study 4 : SVM
  • Case Study 5 : Random Forest
  • Case Study 6 : GBM

Unit 4: Unsuperwised Machine Learning

  • K-means Clustering
  • Hierarchical Clustering
  • Principle Component Analysis(PCA)
  • Feature Hashing

Unit 5: Machine Learning Tools

  • Hadoop Architecture for big data
  • R & h2o
  • Python SciKit Learn
  • Spark Architecture
  • Spark ML and PySpark
  • Spark ML and Sparklyr
  • Microsoft AzureML
  • Working with Azure Cloud
  • Project selection on real life case study
  • Best Practices & Project progress discussion

Unit 6: Job Interview Essentials

  • CV Preparation
  • Effective selling of CV in job sites
  • Soft Skills for Data Scientist
  • Project: Final presentation
  • Executive presence for Interview

Course Reviews

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Key Features

We provide Job Oriented hands on practical training by real time working professional. its suitable for fresher and professional.

We provide hard copy for classroom students / soft copy for online students.

You will get lifetime video access - Online Students

we provide 24/7 support by any type of issues regarding classes and accessing.

You will get course completion certificate when you finished the course.

Greens Technology Velachery provides you job assistance, we have 150+ clients across the globe. We don’t charge any extra fees for this.

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