Course Content
Python Fundamentals
0/8
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
0/3
Overview of Data Science
Introduction to Machine Learning
The Machine Learning Workflow
Python Libraries for Data Science and Machine Learning
0/5
NumPy
Pandas
Matplotlib
Seaborn
Scikit-learn
Data Preprocessing and Feature Engineering
0/6
Handling Missing Data
Data Scaling
Categorical Data Encoding
Feature Selection
Dimensionality Reduction
Feature Engineering
Supervised Learning Algorithms
0/7
Linear Regression
Logistic Regression
Decision Trees
Random Forests
K-Nearest Neighbors (K-NN)
Support Vector Machines (SVM)
Model Evaluation
Unsupervised Learning Algorithms
0/2
Clustering Algorithms
Dimensionality Reduction
Advanced Machine Learning Algorithms
0/4
Gradient Boosting Algorithms
Ensemble Methods
Neural Networks
Hyperparameter Tuning
Introduction to Deep Learning
0/5
Overview of Neural Networks
Introduction to Keras and TensorFlow
Convolutional Neural Networks (CNNs)
Recurrent Neural Networks (RNNs
Transfer Learning
Natural Language Processing (NLP)
0/5
Text Preprocessing
Bag of Words and TF-IDF
Sentiment Analysis
Word Embeddings
Text Generation
Model Deployment and Production
0/5
Model Serialization
Web Application Development
API Integration
Cloud Deployment
Model Monitoring
Advanced Topics in Machine Learning and AI
0/4
Reinforcement Learning
Generative Adversarial Networks (GANs)
AutoML
Ethics in AI
Capstone Project
0/5
Project Selection
Data Collection and Preprocessing
Model Development and Evaluation
Deployment
Final Report
Python for Machine Learning: Full Certification Course
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