Python for Machine Learning: Full Certification Course

Categories: Development & Programming

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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

Python Libraries for Data Science and Machine Learning

Data Preprocessing and Feature Engineering

Supervised Learning Algorithms

Unsupervised Learning Algorithms

Advanced Machine Learning Algorithms

Introduction to Deep Learning

Natural Language Processing (NLP)

Model Deployment and Production

Advanced Topics in Machine Learning and AI

Capstone Project

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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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