Machine Learning Training in Chennai | Python or R Training bitaacademy

madipakkam


AD ID: 2449300001

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Details

Date Added
08 Apr 2024
Country
India
State
Tamil Nadu
City
Ambattur
Pin Code
60007
Website
https://bitaacademy.com/course/machine-learning-tr
No Of Employees
NA
Annual Turnover
NA
Year of Est.
2022
Brand Name
NA

Description

Master Machine Learning course in 50 hrs from Data Scientist. Join Machine Learning Training in Chennai @Bitaacademy and get certified.

Best Machine Learning Training in Chennai

BITA Academy – Your Path to Mastering Data Science and AI

With BITA Academy’s Best Machine Learning Training in Chennai, you can unlock the world of data-driven intelligence. Our comprehensive course is designed to provide you with the skills, knowledge, and hands-on experience you need to flourish in the field of Machine Learning and Data Science.

Course Overview

Our Best Machine Learning Training in Chennai is a hands-on curriculum that covers a wide range of topics to ensure you have a thorough understanding of Machine Learning. Here’s a breakdown of what you’ll learn:

Introduction to Machine Learning: Learn about the principles of machine learning, such as supervised and unsupervised learning, regression, and classification.

Data Processing: Learn how to clean, transform, and prepare data for optimal Machine Learning model training.

Feature Engineering: Learn the art of feature selection and engineering in order to improve model performance.

Supervised Learning: Investigate techniques for classification and regression applications such as Decision Trees, Random Forests, and Support Vector Machines.

Unsupervised Learning: Learn about clustering and dimensionality reduction techniques like K-Means and PCA.

Deep Learning: Deep learning uses master neural networks, convolutional neural networks (CNNs), and recurrent neural networks (RNNs) to perform complicated tasks such as image recognition and natural language processing.

Model Evaluation and Optimization: Discover how to evaluate model performance, tune hyperparameters, and avoid common traps.

Real-World Projects: Put your knowledge to use by working on real-world projects such as predictive analytics, recommendation systems, and sentiment analysis.

 

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2024 February

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