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অতীত ও ঐতিহ্য: অষ্টম শ্রেণীর: পশ্চিমবঙ্গ মধ্যশিক্ষা পর্ষদ
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Topics
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Machine Learning Fundamentals
1
What is Machine Learning?
2
Types of Machine Learning
3
What is Supervised learning?
4
What is Unsupervised learning?
5
Machine Learning vs Artificial intelligence
6
Machine Learning Tutorial
7
History of Machine Learning
8
Reinforcement Learning
9
Machine Learning vs Deep Learning
10
Applications of Machine Learning
11
Machine Learning Workflow
12
Advantages and Limitations of Machine Learning
Structured Data Classification
1
Structured Data Classification
2
Hands on
3
Introduction to Classification
4
Binary Classification
5
Multi-Class Classification
6
Logistic Regression
7
Decision Tree Classifier
8
Random Forest Classifier
9
K-Nearest Neighbors (KNN)
10
Support Vector Machine (SVM)
11
Naive Bayes Algorithm
12
Hands-on Classification Project
Unstructured Data Classification
1
Unstructured Data Classification
2
Introduction to Unstructured Data
3
Text Classification
4
Image Classification
5
Audio Classification
6
Natural Language Processing Basics
7
Tokenization
8
Stop Words Removal
9
Stemming and Lemmatization
10
TF-IDF Vectorization
11
Sentiment Analysis
12
Hands-on NLP Project
Python for Machine Learning
1
Introduction to Python
2
Variables and Data Types
3
Operators and Expressions
4
Loops and Conditional Statements
5
Functions in Python
6
NumPy Basics
7
Pandas Basics
8
Matplotlib for Visualization
9
Seaborn for Data Visualization
10
Jupyter Notebook Introduction
Mathematics for Machine Learning
1
Linear Algebra Basics
2
Scalars, Vectors, and Matrices
3
Matrix Operations
4
Probability Basics
5
Statistics Fundamentals
6
Mean, Median, Mode
7
Variance and Standard Deviation
8
Correlation and Covariance
9
Calculus for Machine Learning
10
Gradient Descent
Data Preprocessing
1
What is Data Preprocessing?
2
Handling Missing Data
3
Feature Scaling
4
Normalization vs Standardization
5
Encoding Categorical Data
6
Train-Test Split
7
Feature Engineering
8
Handling Outliers
9
Data Cleaning Techniques
10
Dimensionality Reduction
Structured Data Regression
1
Introduction to Regression
2
Linear Regression
3
Multiple Linear Regression
4
Polynomial Regression
5
Ridge Regression
6
Lasso Regression
7
Regression Evaluation Metrics
8
Hands-on Regression Project
Clustering Algorithms
1
What is Clustering?
2
K-Means Clustering
3
Hierarchical Clustering
4
DBSCAN Clustering
5
Elbow Method
6
Silhouette Score
7
Customer Segmentation Project
Association Rule Learning
1
Introduction to Association Rules
2
Apriori Algorithm
3
Market Basket Analysis
4
FP-Growth Algorithm
Model Evaluation and Validation
1
Accuracy
2
Precision
3
Recall
4
F1 Score
5
Confusion Matrix
6
ROC Curve
7
AUC Score
8
Cross Validation
9
Bias vs Variance
10
Overfitting and Underfitting
Deep Learning Fundamentals
1
Introduction to Deep Learning
2
Artificial Neural Networks
3
Activation Functions
4
Forward Propagation
5
Backpropagation
6
TensorFlow Introduction
7
Keras Introduction
8
Building First Neural Network
Computer Vision
1
Introduction to Computer Vision
2
Image Processing Basics
3
Convolutional Neural Networks (CNN)
4
Image Recognition
5
Object Detection
6
Face Recognition Project
Natural Language Processing (Advanced)
1
NLP Overview
2
Bag of Words
3
Word Embeddings
4
RNN Basics
5
LSTM Networks
6
Transformer Models
7
Chatbot Development
Time Series Analysis
1
Introduction to Time Series
2
Time Series Components
3
ARIMA Model
4
Forecasting Techniques
5
Stock Price Prediction Project
Recommendation Systems
1
Introduction to Recommendation Systems
2
Content-Based Filtering
3
Collaborative Filtering
4
Movie Recommendation System Project
Reinforcement Learning
1
Introduction to Reinforcement Learning
2
Agent and Environment
3
Q-Learning
4
Reward Function
5
Real-World Applications
Machine Learning Projects
1
House Price Prediction
2
Spam Email Detection
3
Fake News Detection
4
Image Classification Project
5
Customer Churn Prediction
6
Sales Forecasting
7
Chatbot Project
Model Deployment
1
Introduction to Model Deployment
2
Saving and Loading Models
3
Flask for ML Deployment
4
FastAPI for ML APIs
5
Deploying ML Model on Cloud
6
Docker Basics for ML
MLOps Fundamentals
1
What is MLOps?
2
ML Pipeline
3
Model Monitoring
4
CI/CD for ML
5
Version Control for Models
Generative AI and Large Language Models
1
Introduction to Generative AI
2
What are Large Language Models?
3
Prompt Engineering
4
Fine-Tuning Basics
5
Retrieval-Augmented Generation (RAG)
6
AI Agents Introduction
Ethics and Responsible AI
1
AI Ethics
2
Bias in Machine Learning
3
Explainable AI
4
Data Privacy
5
Responsible AI Practices
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Object Detection
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Rumman Ansari
May 25, 2026
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