Best Data Science Course With Placement In Mumbai

If you are looking for the best Data Science course with placement in Mumbai then you came on to the right page here you will get the best course information. If you are interested in learning about data science course then you can go with TalentServe, the best data science course agency in Mumbai with placement. Data Science is an interdisciplinary field that involves the use of statistical and computational methods to extract insights and knowledge from data. The Data Science course is designed to equip individuals with the necessary skills and knowledge required to work with large datasets, analyze data, and generate insights that can be used to solve complex business problems.

Data Science courses are typically offered at the undergraduate and graduate levels and can be completed online or on campus. Some courses may provide hands-on projects, capstone projects, or internships to help students gain practical experience working with real-world data.

In summary, a Data Science course with placement in Mumbai is an excellent option for individuals who are interested in a career in data analysis, machine learning, or artificial intelligence. It provides students with the skills and knowledge required to work with large datasets, analyze data, and generate insights that can be used to solve complex business problems. For more details, you can check our site: https://www.talentserve.org/course-datascience


COURSE CONTENT


  • Introduction to Python

  • Basic Steps

  • NUMPY

  • Data Visualization

  • Pandas

  • Exceptions and Errors

  • Introduction to Artificial Intelligence and Machine Learning

  • Data Wrangling and Manipulation

  • Supervised Learning

  • Supervised Learning-Classification

  • Unsupervised learning

  • Machine Learning Pipeline Building

  • Decision Tree Analysis and Ensemble Learning

  • AI and Deep learning introduction

  • Artificial Neural Network

  • Deep Neural Network & Tools

  • Deep Neural Net optimization, tuning, interpretability

  • Convolutional Neural Net

  • Recurrent Neural Networks

  • Overfit and underfit

  • Transfer Learning

  • Working with Generative Adversarial Networks

  • Pytorch

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