Machine Learning: Empower Tomorrow's Intelligence
- Offered bySkill Vertex
Machine Learning: Empower Tomorrow's Intelligence at Skill Vertex Overview
Duration | 3 months |
Total fee | ₹5,700 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Machine Learning: Empower Tomorrow's Intelligence at Skill Vertex Highlights
- Earn a certificate after completion of the course
- Assignments and Industry Projects for real world exposure
- 1:1 Career Guidance
- Learn from best industry faculty
Machine Learning: Empower Tomorrow's Intelligence at Skill Vertex Course details
Students and Recent Graduates intending to bridge the gap between academic knowledge and practical skills
Working Professionals looking to enhance career prospects and stay updated with industry trends
Career Changers and Professionals on break intending to pivot to new industries by acquiring relevant skills
Freelancers and Entrepreneurs interested in expanding expertise for business growth and innovation
Understand the fundamental principles and algorithms of machine learning
Preprocess and analyze datasets to extract meaningful insights
Implement supervised learning algorithms such as regression, classification, and decision trees
Explore unsupervised learning techniques like clustering and dimensionality reduction
Build neural networks and deep learning models using frameworks like TensorFlow or PyTorch
Evaluate model performance and optimize machine learning pipelines
Apply machine learning to real-world problems such as image recognition, NLP, and recommendation systems
This course is designed to introduce you to the core concepts and techniques of machine learning, equipping you with the skills to build intelligent systems that learn from data
This course empowers you to harness the potential of machine learning, enabling you to build intelligent systems that can solve complex problems and shape the future of technology
IBM certification exam fee is rupess 4500/-
Machine Learning: Empower Tomorrow's Intelligence at Skill Vertex Curriculum
Introduction
Course Overview
Installation & Set up Process
Python
Introduction And Brief Of Numbers And Strings
Introductions To List, Dictionaries, Tuple Sets, And Booleans In Python.
Statements
Functions And Operators In Python
Modules And Packages, Error And exception Handling
Introduction To AI, ML & Data Science
What Is AI
What Is ML
What Is Data Science
NumPy
Introduction To NumPy
Use Case & Functions
Basics Of Pandas
Basics Of Pandas
Creation Of Dataframes
CRUD Operations
Functions & Uses Of Pandas
Data Visualization
Data visualization With Matplotlib And Seaborn
EDA And Preprocession
Statistical Data Analysis
Exploratory Data Analysis
Linear Regression
Linear Regression
Code Implementation
Polynomial Regression
Polynomial Regression
Code Implementation In Python
Regression using SKlearn
Implementation Of All Kinds Of Regression In Python
SKlearn Module
LASSO And Ridge To Address Overfitting In Models
Intro To Classification And KNN
KNN Model
Code Implementation
Logistic Regression And Naive Bayes
Logistic Regression And Naive BayesTheory And Mathematics
Code Implementation
SVM And Decision Tree, Random forest
Support Vector Machines
Decision Trees And Random Forest Models
Code Implementation
Introduction To Neural Networks
An Introduction To Neural Networks
The Foundation Of Modern AI
Unsupervised Learning
Introduction To Key Concepts In Unsupervised Learning
k- Means Clustering
Hierarchical Clustering
Principal Component Analysis