Name: Introduction To Advanced Certificate Program in Machine Learning by E&ICT Academy, IIT Guwahati in Memphis | Henry Harvin
Uploaded: 2024-03-05 16:52:18
Description: Develop skills in Machine Learning technology to upgrade and upskill existing skills with the Advanced Certificate Program in Machine Learning by E&ICT Academy, IIT Guwahati | Get 2 days of IIT Guwahati campus immersion and internship at global ML market players such as IDeaS, OpenX Technologies, Telesign, Duo Security, and many more

Module 1: Intoduction
In this module, a professional will be introduced to Machine Learning and other related concepts
- Intro to Machine Learning
- Supervised Learning
- Steps for Supervised Learning
- Boston Dataset
- Algorithms
Module 2: Ensemble Techniques
In this module, a professional will learn about decision trees and bagging technology
- Decision Trees
- Bagging
- Random Forests
- Boosting
Module 3: Linear Regression
In this module, a professional will learn about Introduction to Linear Regression and cost function
- Introduction to Linear Regression
- Cost function
- Coefficient of Determination
- Optimal Coefficients
- Analysis of Linear Regression using dummy Data
- Linear Regression Intuitions
Module 4: Logistic Regression
In this module, a professional will learn about handling classification problems
- Handling Classification Problems
- Logistic Regression
- Cost Function
- Finding Optimal Values
- Solving Derivatives
- Multiclass Logistic Regression
- Finding Complex Boundaries and Regularization
- Using Logistic Regression from Sklearn
Module 5: DECISION TREES - 1
In this module, a professional will learn about decision trees and interview call-over decision trees discussion
- Decision Trees
- Decision Trees for Interview Call
- Building Decision Trees
- Getting to the Best Decision Tree
- Deciding Feature to Split on
- Continuous Valued Features
Module 6: DECISION TREES - 2
In this module, a professional will learn about the codes using the Sklearn decision tree and information gain
- Code using Sklearn decision tree
- Information gain
- Gain Ratio
- Gini Index
- Decision Trees & Overfitting
- Pruning
Module 7: Random Forests
In this module, a professional will learn about data bagging technology and feature selection
- Introduction to Random Forests
- Data Bagging and Feature Selection
- Extra Trees
- Regression using decision Trees and Random Forest
- Random Forest in Sklearn
Module 8: Naive Bayes
In this module, a professional will learn about Bayes theorem and Independence Assumption in Naive Bayes
- Bayes Theorem
- Independence Assumption in Naive Bayes
- Probability Estimation for Discrete Values Features
- How to handle zero probabilities
- Implementation of Naive Bayes
- Finding the probability for continuous-valued features
- Text Classification using Naive Bayes
Module 9: KNN and SVM
In this module, a professional will learn about Feature scaling before KNN and KNN in Sklearn
- Introduction to KNN
- Feature scaling before KNN
- KNN in Sklearn
- Cross Validation
- Finding Optimal K
- Intuition behind SVM
- SVM Cost Function
- Decision Boundary & the C parameter
- Using SVM from Sklearn
- Finding Non-Linear Decision Boundary
- Choosing Landmark Points
- Similarity Functions
- How to move to new dimensions
- Multi-class Classification
Module 10: Principal Component Analysis
In this module, a professional will learn about Intuition behind PCA
- Intuition behind PCA
- Applying PCA to 2D data
- Applying PCA to 3D data
- Math behind PCA
- Finding the Optimal Number of Features
- Magic behind PCA
Module 11: Natural Language Processing
In this module, a professional will learn about the technology of using words as features
- Using Words as Features
- Basics of word processing
- Stemming, Part of Speech
- Lemmatization
- Building Feature set
- Classification using NLTK Naive Bayes
- Using Words as Features
- Basics of word processing
- Stemming
- Part of Speech
- Lemmatization
- Building Feature set
- Classification using NLTK Naive Bayes
Module 12: Neural Networks
In this module, a professional will learn about linear decision boundaries and neural network terminologies
- Why do we need Neural Networks
- Example with Linear Decision Boundary
- Finding Non-Linear Decision Boundary
- Neural Network Terminology
- No Parameters in Neural Network
- Forward and Backward Propagation
- Cost Function
- How to handle Multiclass classification
- MLP classifier in sklearn
Module 13: TensorFlow and Keras
In this module, a professional will learn about Constants, Sessions, and many such concepts
- Introduction to TensorFlow
- Constants
- Session
- Variables
- Placeholder
- MNIST Data
- Initializing Weights and Biases
- Forward Propagation
- Cost Function
- Introduction to Keras
- The flow of code in Keras
- Kera Models
- Layers, Compiling the model
- Fitting Training Data in Keras
- Evaluations & Predictions
Module 14: Unsupervised Learning
In this module, a professional will learn about clustering and K-means for flat clustering
- Introduction to Unsupervised Learning
- Introduction to Clustering
- Using K-means for Flat Clustering
- KMeans Algorithm
- Using KMeans from Sklearn
- Implementing Fit & Predict Functions
- Implementing K-Means Class
Module 15: Complimentary Module 1: Soft Skills Development
- Business Communication
- Preparation for the Interview
- Presentation Skills
Module 16: Complimentary Module 2: Resume Writing
- Resume Writing

Know the complete offerings of our Advanced Certificate Program in Machine Learning by E&ICT Academy, IIT Guwahati

Advanced Certificate Program in Machine Learning by E&ICT Academy, IIT Guwahati in Memphis

11 Nov 2024

6 Months

11 Nov 2024

6 Months

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Accreditations & Affiliations

Know the complete offerings of our Advanced Certificate Program in Machine Learning by E&ICT Academy, IIT Guwahati in Memphis

Key Highlights

6 Months of Instructor-Led Sessions

32 Hours of Live Interactive Doubt Solving Sessions

16 Hours of Live Master Sessions by Industry Experts

192 Hours of Self-Paced Learning

192 Hours Hands on with Cloud Labs

Job-Ready Portfolio of 10 Capstone Projects

114 Auto-Graded Assessments

20+ Industry Case Studies

144 Guided Hands-On Exercises

10+ Assignments and Mini Projects

2 Mock Interviews and 2 Hackathons

Get 1-Year Gold Membership of Henry Harvin® School of AI & Machine Learning

Get a guaranteed Internship with Henry Harvin® and in top MNCs like J.P. Morgan, Accenture & many more via Forage

Get 3 in 1 Placement support through Placement Drives, Premium access to Job portal & Personalized Job Consulting

7 Hours of Mentorship by Industry Experts

7 Hours of Mentorship by Industry Experts

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About the Advanced Certificate Program in Machine Learning by E&ICT Academy, IIT Guwahati in Memphis

Advanced Certificate Program in Machine Learning by E&ICT Academy, IIT Guwahati

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Curriculum For Advanced Certificate Program in Machine Learning by E&ICT Academy, IIT Guwahati in Memphis

Module 1: Intoduction

Module 2: Ensemble Techniques

Module 3: Linear Regression

Module 4: Logistic Regression

Module 5: DECISION TREES - 1

Module 6: DECISION TREES - 2

Module 7: Random Forests

Module 8: Naive Bayes

Module 9: KNN and SVM

Module 10: Principal Component Analysis

Module 11: Natural Language Processing

Module 12: Neural Networks

Module 13: TensorFlow and Keras

Module 14: Unsupervised Learning

Module 15: Complimentary Module 1: Soft Skills Development

Module 16: Complimentary Module 2: Resume Writing

Admission Closes On 11 Nov 2024

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What you'll Learn in this course

Machine Learning Skills

Programming Languages

Investigating Potential Issues

Formulating Data Analysis Models

Linear Regression and Technologies

Software Development Methodologies

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