Hemalatha
Tiruchirappalli/Online
Skills
About
Hemalatha is a dedicated educator with a Master of Computer Applications (MCA) degree. With two years of teaching experience, she has developed a strong foundation in guiding stude...
Hemalatha is a dedicated educator with a Master of Computer Applications (MCA) degree. With two years of teaching experience, she has developed a strong foundation in guiding students through their learning journeys. Hemalatha is passionate about helping students grasp complex concepts and encourages them to think critically.Fluent in Tamil, she offers her tutoring services in this language, ensuring effective communication and understanding. Hemalatha aims to create a supportive learning environment where students feel comfortable asking questions and expressing their thoughts. Her approachable nature and commitment to student success make her a valuable resource for learners seeking to enhance their knowledge.
Hemalatha
Tiruchirappalli/Online
Skills :
Hemalatha is a dedicated educator with a Master of Computer Applications (MCA) degree. With two years of teaching experience, she has developed a strong foundation in guiding stude...
Hemalatha is a dedicated educator with a Master of Computer Applications (MCA) degree. With two years of teaching experience, she has developed a strong foundation in guiding students through their learning journeys. Hemalatha is passionate about helping students grasp complex concepts and encourages them to think critically.Fluent in Tamil, she offers her tutoring services in this language, ensuring effective communication and understanding. Hemalatha aims to create a supportive learning environment where students feel comfortable asking questions and expressing their thoughts. Her approachable nature and commitment to student success make her a valuable resource for learners seeking to enhance their knowledge.
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Courses by: Hemalatha
AI &ML - Hemalatha
🌟 Course Content
1. Python Programming (Beginner to Advanced)
📌 Module 1: Python Basics
Introduction to Python
Variables, data types
Operators, loops, conditions
Functions & modules
📌 Module 2: Data Structures in Python
Lists, tuples, sets, dictionaries
Comprehensions
String manipulation
📌 Module 3: File Handling & Exception Handling
Reading/writing files
Error & exception handling
📌 Module 4: Python Mini Projects
Calculator
File automation
Data extraction scripts
2. Numpy, Pandas & Matplotlib (Data Handling & Visualization)
📌 Module 1: Numpy
Arrays, indexing
Broadcasting
Mathematical operations
📌 Module 2: Pandas
DataFrames & Series
Data cleaning
Data transformation
Import/export data
📌 Module 3: Matplotlib
Line, bar, pie charts
Histograms
Styling & customization
📌 Module 4: Hands-on Projects
Data preprocessing
Exploratory data analysis (EDA)
Real-world dataset visualization
3. Machine Learning (ML Foundations)
📌 Module 1: ML Fundamentals
What is ML?
Types of ML (Supervised, Unsupervised)
ML workflow
📌 Module 2: Supervised Learning Algorithms
Linear & logistic regression
Decision trees
Random forest
KNN
Model evaluation (accuracy, precision, recall)
📌 Module 3: Unsupervised Learning
K-means clustering
PCA
Dimensionality reduction
📌 Module 4: ML Model Deployment Basics
Saving/loading models
Simple deployment using Flask
📌 Module 5: Machine Learning Projects
House price prediction
Customer clustering
Spam classifier
4. Artificial Intelligence (AI with Python)
📌 Module 1: AI Concepts
What is AI?
Search algorithms
Optimization
Heuristics
📌 Module 2: Practical AI
Rule-based systems
Chatbot basics
Intelligent decision-making systems
📌 Module 3: AI Project
Build an AI assistant using Python
5. OpenCV (Computer Vision)
📌 Module 1: Introduction to OpenCV
Loading images & videos
Image transformations
Thresholding & masking
📌 Module 2: Object Detection & Tracking
Contours
Edge detection
Face detection (Haar cascades)
📌 Module 3: Advanced OpenCV Concepts
Filters & smoothing
Image segmentation
Motion detection
📌 Module 4: OpenCV Projects
Face recognition
Number plate detection
Real-time camera filters
6. GUI Development with PyQt
📌 Module 1: PyQt Basics
Windows, layouts, widgets
Signals & slots
Event handling
📌 Module 2: Building Complete Applications
Form creation
Menus & dialogs
Input/output operations
📌 Module 3: Final PyQt Projects
Personal expense tracker
Desktop-based text editor
ML model GUI integration
