Description

This intensive course is designed for professionals aiming to elevate their skills in advanced machine learning and deep learning using Python. Participants will delve into advanced techniques and methodologies that push the boundaries of traditional machine learning and delve into the realm of deep learning. Through a combination of theoretical lectures and hands-on practical sessions, participants will explore cutting-edge algorithms and architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), generative adversarial networks (GANs), and more.

The course will cover advanced topics such as transfer learning, model interpretability, hyperparameter optimization, and deploying models in real-world scenarios. Participants will gain proficiency in implementing complex machine learning pipelines, leveraging popular libraries like TensorFlow and PyTorch, and deploying scalable deep learning models. By the end of the course, participants will have the skills and knowledge to tackle complex machine learning challenges and develop innovative solutions using state-of-the-art deep learning techniques in Python.

TABLE OF CONTENT

UNIT 1: Introduction to Machine Learning

Overview of Machine Learning

Machine Learning Workflow

Python and Machine Learning

UNIT 2: Data Exploration and Preprocessing

Data Loading and Exploration

Data Cleaning and Handling Missing Values

Feature Engineering

UNIT 3: Supervised Learning Algorithms

Linear Regression in Advanced Machine Learning

Classification Algorithms

Model Evaluation Metrics

UNIT 4: Unsupervised Learning Algorithms

Clustering Algorithms

Dimensionality Reduction

UNIT 5: Model Selection and Hyperparameter Tuning

Cross-Validation in Advanced Machine Learning

Grid Search and Random Search

UNIT 6: Introduction to Neural Networks and Deep Learning

Basics of Neural Networks

Introduction to Deep Learning

UNIT 7: Natural Language Processing (NLP)

Text Preprocessing

Text Vectorization

UNIT 8: Model Deployment and Productionization

Model Deployment Basics in Advanced Machine Learning

Model Monitoring and Maintenance

UNIT 9: Advanced Topics

Time Series Analysis

Reinforcement Learning

Please Visit python Official Site: || Locus Academy ha s more than a decade experience in delivering the training/staffing on Advanced Machine Learning and Deep Learning using Python for corporates across the globe. The participants for the training/staffing on Advanced Machine Learning and Deep Learning using Python are extremely satisfied and are able to implement the learnings in their on going projects.

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