AI / Machine Learning

Complete A.I. & Machine Learning, Data Science Bootcamp

Learn Data Science, Data Analysis, and Machine Learning (Artificial Intelligence) with Python. Master TensorFlow, Pandas, and more industry-leading tools to become an AI and Data Science expert from scratch.

Course Cost

Rs 38,000

What You'll Learn

  • Become a Data Scientist and get hired in top companies.
  • Master Machine Learning and apply it to real-world projects.
  • Deep Learning, Transfer Learning, and Neural Networks using TensorFlow 2.0.
  • Use modern tools like TensorFlow, Pandas, NumPy, Scikit-learn, and more.
  • Perform data visualization using Matplotlib and Seaborn.
  • Understand and apply Supervised and Unsupervised Learning techniques.
  • Explore large datasets and wrangle data efficiently using Pandas.
  • Learn best practices for Data Science workflows and project presentation.
  • Build a portfolio of Data Science and Machine Learning projects.
  • Develop skills to handle real-life case studies and business problems.
  • Set up your development environment for Data Science and Machine Learning.
  • Understand how to choose the right Machine Learning model for different problems.
  • Work with time series data and apply Machine Learning techniques to it.
  • Learn about Data Engineering tools like Hadoop, Spark, and Kafka.
  • Perform Classification, Regression, and Transfer Learning effectively.
  • Learn Python programming with the latest Python 3 for Data Science.

Explore Related Topics

Data Science Machine Learning Deep Learning Artificial Intelligence

This Course Includes:

43.5 hours on-demand video
1 coding exercise
60 articles
14 downloadable resources
Access on mobile and TV
Certificate of completion

Course Content

Course Introduction: AI & ML Foundations
Data Preprocessing and Cleaning
Supervised and Unsupervised Learning
Deep Learning with TensorFlow 2.0
Exploratory Data Analysis with Pandas and Seaborn
Time Series Analysis and Forecasting
Model Evaluation and Improvement Techniques
Building Real-World Machine Learning Projects
Presenting Data Science Projects to Stakeholders
Industry Tools: Hadoop, Spark, and Kafka
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