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DATA SCIENCE ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING WITH PYTHON

DATA SCIENCE ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING WITH PYTHON

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This course is a comprehensive introduction to Python for data science, machine learning, and artificial intelligence. It covers fundamental concepts such as data analysis, data visualization, regression, classification, clustering, natural language processing (NLP), and web-based model deployment. The curriculum is designed to provide a hands-on learning experience with practical implementations using libraries such as NumPy, Pandas, Matplotlib, Scikit-Learn, and TensorFlow. By the end of this course, learners will have the ability to analyze large datasets, build predictive models, and deploy machine learning applications in real-world scenarios.

By the end of this course, students will:

  • Gain proficiency in Python programming, specifically for data science and machine learning applications.
  • Learn the fundamentals of data analysis and data visualization using Python, SQL, and Excel.
  • Develop expertise in essential libraries such as NumPy, Pandas, Matplotlib, and Scikit-Learn.
  • Understand data preprocessing techniques and feature engineering.
  • Implement regression, classification, clustering, and ensemble learning models.
  • Perform exploratory data analysis (EDA) and feature selection.
  • Master techniques for dimensionality reduction and unsupervised learning.
  • Gain hands-on experience with natural language processing (NLP) and sentiment analysis.
  • Learn how to integrate machine learning models into web applications using Flask.
  • Work on real-world projects, enhancing their ability to solve business problems through data-driven decision-making.
Mode of Training:

  • LIVE Online
  • Offline in Kolkata
  • Offline in Durgapur
  • Offline in Institutions / Companies (for institutional and corporate training)
This course is suitable for students, developers, data analysts, and statisticians with basic knowledge of computer science and Python programming.
Industrial
Professional

Course Modules

  • Professional


    1. Duration - 60 to 80 Hours (12/16/20/24 Weeks)
    2. Daily / Weekly Classes
    3. 4 Case Studies & 1 Minor Project & 1 Live Project
    4. Professional Courses are more comprehensive. The learning is case study based and project oriented. Ideal for passout students and working professionals.
    5. WHEN WILL YOUR COURSE/TRAINING/INTERNSHIP START AFTER ADMISSION?

      As per our policy, we start the course/training/internship within 10 days from the date of enrollment. If you enroll for future month/date, our schedule team will coordinate with you and assign your class. To communicate with our schedule team for preferred timing, email to training@ardentcollaborations.com. All courses/internships can be scheduled in customised manner as per your requirements.
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    7. SPECIAL OFFER- SAVE 50%

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Reviews

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"Good "
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Pritiprasad Pandit says
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