Course description

Machine learning (ML) has become indispensable in various industries and applications, transforming how businesses operate and improving decision-making processes. Here are key reasons why machine learning is essential in the real world:

  • Automation and Efficiency
  • Predictive Analytics
  • Personalization and Customer Insights
  • Healthcare and Medical Diagnostics
  • Natural Language Processing (NLP)
  • Image and Video Analysis
  • Financial Services and Fraud Detection

  • Machine learning (ML) is a subfield of artificial intelligence (AI) that focuses on developing algorithms and statistical models capable of learning from and making predictions or decisions based on data.
  • Here’s a comprehensive overview of machine learning, its types, applications, and impact:

  • Machine learning continues to revolutionize industries and everyday life, driving innovations in automation, decision-making, and personalized experiences.
  • As advancements in algorithms, computing power, and data availability accelerate, the potential for ML to tackle complex problems and create value across diverse domains grows exponentially.
  • At Stellaraa, we offer specialized courses to equip individuals with the skills and knowledge needed to thrive in the dynamic field of machine learning.

  • Overview of Machine Learning
  • Types of Machine Learning: Supervised, Unsupervised, and Reinforcement Learning
  • Applications of Machine Learning in Various Industries
  • Setting Up the Development Environment (Python, Jupyter Notebooks, Anaconda)

  • Understanding Data Types and Structures
  • Data Cleaning and Handling Missing Values
  • Exploratory Data Analysis (EDA) and Visualization
  • Feature Engineering and Selection
  • Normalization and Standardization of Data

  • Regression
    • Simple Linear Regression
    • Multiple Linear Regression
    • Polynomial Regression
    • Evaluation Metrics (MSE, RMSE, R² Score)
  • Classification
    • Logistic Regression
    • K-Nearest Neighbors (KNN)
    • Support Vector Machines (SVM)
    • Decision Trees and Random Forests
    • Naive Bayes
    • Evaluation Metrics (Accuracy, Precision, Recall, F1 Score, ROC-AUC)

  • Clustering
    • K-Means Clustering
    • Hierarchical Clustering
    • DBSCAN
    • Evaluation Metrics (Silhouette Score, Inertia)
  • Dimensionality Reduction
    • Principal Component Analysis (PCA)
    • Linear Discriminant Analysis (LDA)
    • t-Distributed Stochastic Neighbor Embedding (t-SNE)

  • Ensemble Learning
    • Bagging and Boosting (AdaBoost, Gradient Boosting, XGBoost)
    • Stacking and Blending
  • Model Selection and Hyperparameter Tuning
    • Cross-Validation Techniques
    • Grid Search and Random Search
    • Bayesian Optimization
  • Deep Learning Basics
    • Introduction to Neural Networks
    • Understanding the Basics of Deep Learning
    • Building and Training Neural Networks with TensorFlow and Keras

  • Text Processing and Feature Extraction
    • Tokenization and Lemmatization
    • Bag-of-Words and TF-IDF
  • Text Classification
    • Sentiment Analysis
    • Spam Detection
  • Advanced NLP Techniques
    • Word Embeddings (Word2Vec, GloVe, FastText)
    • Recurrent Neural Networks (RNNs) and LSTMs
    • Transformers and BERT

  • Model Evaluation and Validation
  • Saving and Loading Models
  • Introduction to Model Deployment
  • Deploying Models using Flask and Docker
  • Monitoring and Maintaining Models in Production

  • Defining the Project Scope and Objectives
  • Data Collection and Preparation
  • Model Selection and Development
  • Evaluation and Iteration
  • Presentation and Reporting

Tool 1

Keras

Tool 2

XGBoost

Tool 3

PyTorch

Tool 4

Scikit-learn

Tool 5

TensorFlow

Skill level

Expiry period

Lifetime
Annual Salary
Source: Glassdoor
Hiring Companies
American Express Honeywell Accenture Wipro
Source: Indeed
Annual Salary
Source: Glassdoor
Hiring Companies
American Express Honeywell Accenture Wipro
Source: Indeed
Annual Salary
Source: Glassdoor
Hiring Companies
American Express Honeywell Accenture Wipro
Source: Indeed
Annual Salary
Source: Glassdoor
Hiring Companies
American Express Honeywell Accenture Wipro
Source: Indeed

Why Stellaraa

Comprehensive Course
Expert Instruction
Live Interaction
Internship
Capstone Project
LMS Access
Corporate Certificate
One on One Interaction
Career Support

Projects

Sentiment Analysis of Product Reviews

Fraud Detection in Financial Transactions

Speech Recognition System

Predicting Diabetes Using Machine Learning

Human Activity Recognition Using Smartphones

Customer Segmentation Using K-Means Clustering

Spam Email Detection

Customer Churn Prediction

CERTIFICATIONS

Certificate 1
Certificate 2
Certificate 3
5999

Essential

  • 6+ Hrs of Live Sessions
  • Industrial Projects
  • Recorded videos
  • Certifications
  • Mentor Support
  • One On One Doubt Clearing Sessions
  • Placement Guidance
  • Interview Assistance
Select Plan
14999

Elite

  • 24+ Hrs of Live Sessions
  • Industrial Projects
  • Recorded videos
  • Certifications
  • Mentor Support
  • One On One Doubt Clearing Sessions
  • Placement Guidance
  • Interview Assistance
Select Plan

Discover Top Categories

Supervised Learning
Unsupervised Learning
Reinforcement Learning
Deep Learningk
Neural Networks
Dimensionality Reduction
Natural Language Processing (NLP)
Computer Vision
Transfer Learning
Ensemble Learningt

Frequently asked question

  • Machine learning is a type of artificial intelligence (AI) that allows computers to learn without being explicitly programmed. It involves algorithms that are trained on data to identify patterns and make predictions.

  • Machine learning can benefit businesses in many ways, such as:

  • Improved decision-making: Machine learning can analyze large amounts of data to identify trends and patterns that humans might miss. This can help businesses make better decisions about everything from marketing to product development.
  • Increased efficiency: Machine learning can automate tasks that are currently performed by humans, such as data analysis and customer service. This can free up employees to focus on more strategic work.
  • Enhanced customer experiences: Machine learning can be used to personalize customer experiences, such as by recommending products or services that are likely to be of interest to individual customers.

  • There are many different types of machine learning, but some of the most common include:

  • Supervised learning: In supervised learning, the algorithm is trained on labeled data. This means that the data includes both the input and the desired output. For example, an algorithm that is trained to identify spam emails would be trained on a dataset of emails that have been labeled as spam or not spam.
  • Unsupervised learning: In unsupervised learning, the algorithm is trained on unlabeled data. This means that the data does not include any labels. The algorithm must identify patterns in the data on its own. For example, an algorithm that is used to identify customer segments might be trained on a dataset of customer purchase history data.
  • Reinforcement learning: In reinforcement learning, the algorithm learns by trial and error. The algorithm is given a set of rules and a reward function. The algorithm then interacts with its environment and learns what actions lead to the highest rewards.

  • The prerequisites for a machine learning course at Stellaraa will vary depending on the specific course. However, some general prerequisites may include:

  • A basic understanding of mathematics, including calculus and linear algebra
  • A basic understanding of programming, such as Python

  • In a machine learning course at Stellaraa, you will learn the fundamentals of machine learning, including the different types of machine learning, the machine learning process, and common machine learning algorithms. You will also gain hands-on experience with machine learning by working on real-world projects.

  • Machine learning is a growing field with a wide range of applications. A strong understanding of machine learning can give you a competitive edge in the job market. Machine learning skills are in demand across a variety of industries, including healthcare, finance, and technology.

Recognized By

Credential Platform Partners

WIPRO

Contact us

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Email

support@stellaraa.com,
collabs@stellaraa.com

Get in touch

+91 93648 79763
+91 93648 79767

Our address

59/1,4thmain, Dattathreya Nagar, Hoskerehalli, Banashankari Iii Stage, Bangalore, Bangalore South, Karnataka, India, 560085

Office hours

11:00 AM - 8:00 PM

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