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.
Other useful references
