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POLICY UPDATE: Senior leaders from the world’s leading research..
Python for Machine Learning: Full Certification Course
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Course Content
Python Fundamentals
Introduction to Python
Basic Syntax
Control Structures
Functions
Data Structures
File I/O
Error Handling
Modules and Libraries
Introduction to Data Science and Machine Learning
Overview of Data Science
Introduction to Machine Learning
The Machine Learning Workflow
Python Libraries for Data Science and Machine Learning
NumPy
Pandas
Matplotlib
Seaborn
Scikit-learn
Data Preprocessing and Feature Engineering
Handling Missing Data
Data Scaling
Categorical Data Encoding
Feature Selection
Dimensionality Reduction
Feature Engineering
Supervised Learning Algorithms
Linear Regression
Logistic Regression
Decision Trees
Random Forests
K-Nearest Neighbors (K-NN)
Support Vector Machines (SVM)
Model Evaluation
Unsupervised Learning Algorithms
Clustering Algorithms
Dimensionality Reduction
Advanced Machine Learning Algorithms
Gradient Boosting Algorithms
Ensemble Methods
Neural Networks
Hyperparameter Tuning
Introduction to Deep Learning
Overview of Neural Networks
Introduction to Keras and TensorFlow
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs
Transfer Learning
Natural Language Processing (NLP)
Text Preprocessing
Bag of Words and TF-IDF
Sentiment Analysis
Word Embeddings
Text Generation
Model Deployment and Production
Model Serialization
Web Application Development
API Integration
Cloud Deployment
Model Monitoring
Advanced Topics in Machine Learning and AI
Reinforcement Learning
Generative Adversarial Networks (GANs)
AutoML
Ethics in AI
Capstone Project
Project Selection
Data Collection and Preprocessing
Model Development and Evaluation
Deployment
Final Report
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