Name: Introduction To Advanced Certificate Program in Machine Learning by E&ICT Academy, IIT Guwahati in Dallas | 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 Dallas

23 Dec 2024

Book a Live Class, For Free!

Accreditations & Affiliations

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

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

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

Who Should Attend?

AGOTA™ Framework

Trainers at Henry Harvin®

Alumni Status

Gold Membership Benefits

Learning Benefits

Career Benefits

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

Earn Certification of Course from Henry Harvin®, Govt of India recognized & Award-Winning Institute and NSDC Certification

Our Placement Stats

Access the best jobs in the industry

You Get 10-In-1 Program

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

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 23 Dec 2024

null

Henry Harvin® Ranks #1

Upcoming Cohort

Henry Harvin® Ranks #1

Starts in 5 day. 23 Dec 2024

Skills Covered

Certifications

Get Ahead with Henry Harvin® Advanced Certificate Program in Machine Learning by E&ICT Academy, IIT Guwahati in Dallas Certification

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

Our courses and Course Certificates are trusted by these industry leaders

Career Services By Henry Harvin®

Placement Drives

Premium access to Henry Harvin® Job portal

Personalized Job Consulting

Job Profiles

Related Jobs

Popular Programs

Natural Language Processing NLP Course

Machine Learning with Python ( CMLP) Course

Artificial Intelligence Course

ChatGPT Course