Advanced Machine Learning and Deep Learning using Python

Duration: Hours



    Training Mode: Online


    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.


    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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