Machine Learning with AI and Python Language

Machine Learning (ML) training equips individuals with the knowledge and skills to harness the power of algorithms and statistical models, enabling computers to learn from data and make intelligent decisions. As technology continues to advance, machine learning expertise has become increasingly valuable across various industries.

Intermediate 0(0 Ratings) 0 Students enrolled
Created by Educadmy Admin
Last updated Thu, 14-Dec-2023 English

Key features

  • Programming Skills like R, Python
  • Mathematics and Statistics
  • Data Analysis
  • Basic Machine Learning Concepts
  • Computer Science Fundamentals
  • Database and SQL
Curriculum
25 Lessons 14:35:10 Hours
Data Preprocessing with R
1 Lessons 00:42:15 Hours
  • Intro to Data Science with R
    00:42:15
  • Data Processing Importing Data Set
    00:30:04
  • Missing Data, Encoding Categorical Data
    00:30:53
  • Splitting the data set and Feature Scaling
    00:30:25
  • Simple Linear Regression in Python
    00:35:48
  • Simple Linear Regression in R
    00:31:39
  • Multiple Linear Regression Intro
    00:31:57
  • Multiple Linear Regression in Python
    00:33:28
  • Multiple Linear Regression in R
    01:09:08
  • Polynomial Regression in Python
    00:33:21
  • Polynomial Regression in R Part 1
    00:35:40
  • Polynomial Regression in R Part 2
    00:30:27
  • Support Vector Regression in Python
    00:32:00
  • Support Vector Regression in R
    00:31:39
  • Decision Tree Regression in Python
    00:33:04
  • Decision Tree Regression in R
    00:19:36
  • Random Forest Regression in Python and R
    00:35:55
  • Evaluating Regression Model in Python
    00:10:11
  • Evaluating Regression Model in R
    00:18:18
  • Logistic Regression in Python
    00:40:20
  • Logistic Regression in R
    00:42:14
  • K Nearest Neighbours in Python
    00:37:58
  • K Nearest Neighbours in R
    00:37:58
  • Support Vector Machine in Python and R
    00:35:40
  • Kernel SVM in R Programming
    01:05:12
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Course description

Welcome to the Comprehensive Machine Learning Mastery course, designed for individuals eager to unlock the potential of machine learning. In this dynamic program, participants will embark on a transformative learning journey, acquiring essential skills, theoretical foundations, and practical expertise in machine learning.

Key Advantages of the Course:

  1. Foundational Understanding:

    • Gain a solid foundation in machine learning principles, algorithms, and applications.
    • Develop a deep understanding of supervised and unsupervised learning, enabling you to tackle diverse problem domains.
  2. Hands-On Programming Experience:

    • Acquire proficiency in Python, the language of choice for machine learning.
    • Engage in practical coding exercises using popular libraries such as scikit-learn, TensorFlow, and PyTorch.
  3. Real-world Applications:

    • Explore a variety of real-world applications of machine learning, including image recognition, natural language processing, and predictive analytics.
    • Work on industry-relevant projects to apply theoretical knowledge to practical scenarios.
  4. Mathematical Foundations:

    • Strengthen your mathematical background with a focus on linear algebra, calculus, and statistics, providing a solid base for understanding the inner workings of machine learning algorithms.
  5. Data Preprocessing and Feature Engineering:

    • Master the art of data preprocessing, cleaning, and feature engineering to ensure optimal model performance.
    • Learn techniques for handling missing data, scaling features, and transforming variables.
  6. Supervised and Unsupervised Learning:

    • Dive into supervised learning with in-depth coverage of linear regression, classification algorithms, and support vector machines.
    • Explore unsupervised learning through clustering algorithms and dimensionality reduction techniques.
  7. Advanced Topics:

    • Delve into advanced machine learning concepts, including neural networks and reinforcement learning.
    • Understand the practical implementation of deep learning architectures for solving complex problems.
  8. Practical Projects and Case Studies:

    • Apply your knowledge through hands-on projects and case studies, simulating real-world scenarios.
    • Receive constructive feedback and guidance from experienced instructors and mentors.
  9. Career Development:

    • Gain insights into industry best practices and emerging trends in machine learning.
    • Enhance your employability with a comprehensive skill set sought after by employers in data science and machine learning roles.
  10. Community and Networking:

    • Connect with a vibrant community of fellow learners, fostering collaboration and knowledge exchange.
    • Access networking opportunities with industry professionals and experts in the field.

Join us on this transformative journey to master machine learning and unlock new possibilities in the rapidly evolving world of artificial intelligence and data science. Whether you're a novice or an experienced professional, this course is tailored to elevate your expertise and propel your career forward.

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Educadmy Admin

Jerome Guionnet

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Machine Learning with AI and Python Language

Machine Learning (ML) training equips individuals with the knowledge and skills to harness the power of algorithms and statistical models, enabling computers to learn from data and make intelligent decisions. As technology continues to advance, machine learning expertise has become increasingly valuable across various industries.

Intermediate
0 (0 Ratings) 0 Students
Created by Educadmy Admin
Last updated Thu, 14-Dec-2023
English
₹24000 ₹35000 31% Off
Includes:
  • 14:35:10 Hours On demand videos
  • 25 Lessons
  • Access on mobile and tv
  • Full lifetime access
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