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Programming

Data Science and Machine Learning

Rated 5 out of 5
  • 3.721 students
  • Last updated 25/7/2024

Descriptions

Delve into the exciting world of Data Science and Machine Learning with our comprehensive course designed for aspiring data scientists, analysts, and tech enthusiasts. In today’s data-driven world, the ability to extract insights from vast amounts of data and apply machine learning techniques is a highly sought-after skill. This course will take you from the basics of data science to the implementation of advanced machine learning algorithms, equipping you with the tools needed to analyze data, build predictive models, and derive actionable insights.

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Key Points

  • Foundations of Data Science
  • Deep Learning and Neural Networks
  • Statistical Analysis
  • Python for Data Science
  • Expert Instruction
  • Hands-On Projects

Duration: 6 Months / 9 Months/ 12 Months

Duration: 2 Hrs

Curriculum

Introduction to Machine Learning
Understand ML concepts, types of learning, and applications
Python for Machine Learning
Learn Python basics for ML, libraries like NumPy, Pandas
Data Preprocessing and Exploration
Learn techniques for cleaning, transforming, and exploring data
Feature Engineering and Selection
Feature Engineering and Selection
Regression Techniques
Learn about linear regression and its variations
Classification Techniques
Explore classification algorithms like logistic regression, SVM
Model Evaluation and Tuning
Understand model performance metrics and tuning techniques
Ensemble Methods
Learn about ensemble methods like Random Forests and Boosting
Unsupervised Learning
Explore clustering and dimensionality reduction techniques
Neural Networks and Deep Learning
Understand the basics of neural networks and deep learning
Convolutional Neural Networks (CNNs)
Learn about CNNs and their applications in image processing
Natural Language Processing (NLP)
Learn about NLP techniques and applications
Recurrent Neural Networks (RNNs)
Understand RNNs and their use in sequential data analysis